From e02cfe42653b19970383d770b6fe6ecec9129027 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 12 Jun 2021 23:20:09 +0530 Subject: [PATCH 01/48] Added abspath for terminal support --- vision/cdcgan_mnist/cGAN_mnist.jl | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/vision/cdcgan_mnist/cGAN_mnist.jl b/vision/cdcgan_mnist/cGAN_mnist.jl index 542385e50..82ff72008 100644 --- a/vision/cdcgan_mnist/cGAN_mnist.jl +++ b/vision/cdcgan_mnist/cGAN_mnist.jl @@ -186,4 +186,6 @@ function train(; kws...) end cd(@__DIR__) -fixed_labels = train() +if abspath(PROGRAM_FILE) == @__FILE__ + fixed_labels = train() +end \ No newline at end of file From 936871c0121f90edf1639825012c3896e718e6f5 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 00:59:35 +0530 Subject: [PATCH 02/48] Added README files and abspath support to code --- vision/conv_mnist/conv_mnist.jl | 4 +++- vision/dcgan_mnist/dcgan_mnist.jl | 4 +++- vision/mlp_mnist/mlp_mnist.jl | 4 +++- vision/vgg_cifar10/vgg_cifar10.jl | 6 ++++-- 4 files changed, 13 insertions(+), 5 deletions(-) diff --git a/vision/conv_mnist/conv_mnist.jl b/vision/conv_mnist/conv_mnist.jl index 5fc2f6048..29e7bb01f 100644 --- a/vision/conv_mnist/conv_mnist.jl +++ b/vision/conv_mnist/conv_mnist.jl @@ -157,4 +157,6 @@ function train(; kws...) end end -train() +if abspath(PROGRAM_FILE) == @__FILE__ + train() +end diff --git a/vision/dcgan_mnist/dcgan_mnist.jl b/vision/dcgan_mnist/dcgan_mnist.jl index 9becf2a95..ee3767fb6 100644 --- a/vision/dcgan_mnist/dcgan_mnist.jl +++ b/vision/dcgan_mnist/dcgan_mnist.jl @@ -145,4 +145,6 @@ function train(; kws...) end cd(@__DIR__) -train() +if abspath(PROGRAM_FILE) == @__FILE__ + train() +end diff --git a/vision/mlp_mnist/mlp_mnist.jl b/vision/mlp_mnist/mlp_mnist.jl index 9aa42951c..de506129d 100644 --- a/vision/mlp_mnist/mlp_mnist.jl +++ b/vision/mlp_mnist/mlp_mnist.jl @@ -96,5 +96,7 @@ function train(; kws...) end ### Run training -train() +if abspath(PROGRAM_FILE) == @__FILE__ + train() +end # train(η=0.01) # can change hyperparameters diff --git a/vision/vgg_cifar10/vgg_cifar10.jl b/vision/vgg_cifar10/vgg_cifar10.jl index 14998ffff..6742fe778 100644 --- a/vision/vgg_cifar10/vgg_cifar10.jl +++ b/vision/vgg_cifar10/vgg_cifar10.jl @@ -146,5 +146,7 @@ function test(m; kws...) @show test_accuracy end -m = train() -test(m) +if abspath(PROGRAM_FILE) == @__FILE__ + m = train() + test(m) +end From bd6209318256fd15a3295b644342c6be15dca75b Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 01:02:50 +0530 Subject: [PATCH 03/48] Added README files --- vision/cdcgan_mnist/README.md | 0 vision/conv_mnist/README.md | 0 vision/dcgan_mnist/README.md | 0 vision/mlp_mnist/README.md | 0 vision/vgg_cifar10/README.md | 0 5 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 vision/cdcgan_mnist/README.md create mode 100644 vision/conv_mnist/README.md create mode 100644 vision/dcgan_mnist/README.md create mode 100644 vision/mlp_mnist/README.md create mode 100644 vision/vgg_cifar10/README.md diff --git a/vision/cdcgan_mnist/README.md b/vision/cdcgan_mnist/README.md new file mode 100644 index 000000000..e69de29bb diff --git a/vision/conv_mnist/README.md b/vision/conv_mnist/README.md new file mode 100644 index 000000000..e69de29bb diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md new file mode 100644 index 000000000..e69de29bb diff --git a/vision/mlp_mnist/README.md b/vision/mlp_mnist/README.md new file mode 100644 index 000000000..e69de29bb diff --git a/vision/vgg_cifar10/README.md b/vision/vgg_cifar10/README.md new file mode 100644 index 000000000..e69de29bb From 3215e2bafc53db88008c3f7b1bb86208568711a1 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 16:01:25 +0530 Subject: [PATCH 04/48] Updated README.md for cdcgan_mnist --- vision/cdcgan_mnist/README.md | 43 +++++++++++++++++++++++++++++++++++ 1 file changed, 43 insertions(+) diff --git a/vision/cdcgan_mnist/README.md b/vision/cdcgan_mnist/README.md index e69de29bb..06b691eab 100644 --- a/vision/cdcgan_mnist/README.md +++ b/vision/cdcgan_mnist/README.md @@ -0,0 +1,43 @@ +# Conditional DCGAN + + + +## Model Info + +Generative Adversarial Networks have two models, a _Generator model G(z)_ and a _Discriminator model D(x)_, in competition with each other. G tries to estimate the distribution of the training data and D tries to estimate the probability that a data sample came from the original training data and not from G. During training, the Generator learns a mapping from a _prior distribution p(z)_ to the _data space G(z)_. The discriminator D(x) produces a probability value of a given x coming from the actual training data. +This model can be modified to include additional inputs, y, on which the models can be conditioned. y can be any type of additional inputs, for example, class labels. _The conditioning can be achieved by simply feeding y to both the Generator — G(z|y) and the Discriminator — D(x|y)_. + +## Training + +```shell +cd vision/cdcgan_mnist +julia --project cGAN_mnist.jl +``` + +## Results + +1000 training step + +![1000 training step](..\cdcgan_mnist\output\cgan_steps_001000.png) + +3000 training step + +![30000 trainig step](..\cdcgan_mnist\output\cgan_steps_003000.png) + +5000 training step + +![5000 training step](..\cdcgan_mnist\output\cgan_steps_005000.png) + +10000 training step + +![10000 training step](..\cdcgan_mnist\output\cgan_steps_010000.png) + +11725 training step + +![11725 training step](..\cdcgan_mnist\output\cgan_steps_011725.png) + +## References + +[arXiv](https://arxiv.org/pdf/1411.1784.pdf) + +[Medium](https://medium.com/@utk.is.here/training-a-conditional-dc-gan-on-cifar-10-fce88395d610) \ No newline at end of file From ce19dca5c5fa28ca80ab20da321725fb4738b843 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 16:03:56 +0530 Subject: [PATCH 05/48] Added image for readme --- vision/cdcgan_mnist/output/img_for_readme.png | Bin 0 -> 40830 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 vision/cdcgan_mnist/output/img_for_readme.png diff --git a/vision/cdcgan_mnist/output/img_for_readme.png b/vision/cdcgan_mnist/output/img_for_readme.png new file mode 100644 index 0000000000000000000000000000000000000000..23867e19b98d986fead77c4f781063fbc1686857 GIT binary patch literal 40830 zcmbq*bx>7n*smBg0s_(!(kUP%(k&q=($YwGhjd6tiF67G2og$zgp{Np(w$0oY}ohV z%)N8}`)2OkGvjfTz1CjqeV_Qn^BSR|EQ^ClhI!-04IFtnDYY9nP^RHm7Wz&28!w#0 zSMVE(vzn~Ljj{oX4fw-t3vng!8#gLqu@FXg;LjKia@x)}Zrp9Z{)N(IUu1gYMizm* 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z^h3b}m-p(46U^s18u+II_u#JnXXY&~Dt>*I8(C;Y^;xV5?}_`<+j9-EuIqJvG9>O8 zB1DR^;geFb+s6@wmvcTPViS_{7F+K2gp?xYb;oXZmcQ46!}c!(X1YJDl2_lbHGv~Z zSjmQGQ?IwQ$Mf$Qq&&y19z#+8E?av+hL`OZJOH<(iPjts@B9;1;)lh$nBIX{kT9Ss z{$#;|CXbG^>K2{7=dIZ83zG%!IL3GctJLaLau`j!w3KN_eEta*Nmf$K5i9crU?{uG zjN4Z}Gi5FptNl8tJa8V4T-rBvkHSiD^4O(s>9_V^XFAk>-*+4czwXI9{;c5K8Pmrh zd^i=K!YXlFC%1m-rP+ivH5t;+=2T~15Kg#{NJ25!>>K*he>x*oNYHUmDu9E4^8lD A>i_@% literal 0 HcmV?d00001 From 83edc506f5d271edb485026a823a16acaa703543 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 22:44:16 +0530 Subject: [PATCH 07/48] Updated Readme.md for conv_mnist --- vision/conv_mnist/README.md | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/vision/conv_mnist/README.md b/vision/conv_mnist/README.md index e69de29bb..601fda2b6 100644 --- a/vision/conv_mnist/README.md +++ b/vision/conv_mnist/README.md @@ -0,0 +1,22 @@ +# LeNet-5 + +![LeNet-5](..\conv_mnist\docs\LeNet-5.png) + +## Model Info + +At a high level LeNet (LeNet-5) consists of two parts: +(i) _a convolutional encoder consisting of two convolutional layers_; +(ii) _a dense block consisting of three fully-connected layers_ + +The basic units in each convolutional block are a convolutional layer, a sigmoid activation function, and a subsequent average pooling operation. Each convolutional layer uses a 5×5 kernel and a sigmoid activation function. These layers map spatially arranged inputs to a number of two-dimensional feature maps, typically increasing the number of channels. The first convolutional layer has 6 output channels, while the second has 16. Each 2×2 pooling operation (stride 2) reduces dimensionality by a factor of 4 via spatial downsampling. The convolutional block emits an output with shape given by (batch size, number of channel, height, width). + +## Training + +```shell +cd vision/conv_mnist +julia --project conv_mnist.jl +``` + +## Reference + +[d2l.ai](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) \ No newline at end of file From 0bfef8d5c73320109e8adc8a4c81f4562f684320 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 23:17:46 +0530 Subject: [PATCH 08/48] Updated dcgan_mnist readme --- vision/dcgan_mnist/README.md | 38 ++++++++++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md index e69de29bb..83474ba4d 100644 --- a/vision/dcgan_mnist/README.md +++ b/vision/dcgan_mnist/README.md @@ -0,0 +1,38 @@ +# Deep Convolutional GAN + +![dcgan_gen_disc](..\dcgan_mnist\docs\dcgan_generator_discriminator.png) + +## Model Info + +A DCGAN is a direct extension of the GAN, except that it explicitly uses convolutional and convolutional-transpose layers in the discriminator and generator, respectively. _The discriminator is made up of strided convolution layers, batch norm layers, and LeakyReLU activations_. The input is a 3x64x64 input image and the output is a scalar probability that the input is from the real data distribution. _The generator is comprised of convolutional-transpose layers, batch norm layers, and ReLU activations_. The input is a latent vector, _z_, that is drawn from a standard normal distribution and the output is a 3x64x64 RGB image. The strided conv-transpose layers allow the latent vector to be transformed into a volume with the same shape as an image. + +## Training + +```script +cd vision/dcgan_mnist +julia --project dcgan_mnist.jl +``` + +## Results + +2000 training step + +![2000 training steps](..\dcgan_mnist\output\dcgan_steps_002000.png) + +5000 training step + +![5000 training steps](..\dcgan_mnist\output\dcgan_steps_005000.png) + +8000 training step + +![8000 training steps](..\dcgan_mnist\output\dcgan_steps_008000.png) + +9380 training step + +![9380 training step](..\dcgan_mnist\output\dcgan_steps_009380.png) + +## References + +[arXiv](https://arxiv.org/pdf/1511.06434v2.pdf) + +[pytorch.org/tutorials/beginner/dcgan_faces_tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html) \ No newline at end of file From ce52bbaa42e4f733a281eb2973a5110f321dd688 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 23:38:17 +0530 Subject: [PATCH 09/48] Added mlp img in docs folder --- vision/mlp_mnist/docs/mlp.svg | 143 ++++++++++++++++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 vision/mlp_mnist/docs/mlp.svg diff --git a/vision/mlp_mnist/docs/mlp.svg b/vision/mlp_mnist/docs/mlp.svg new file mode 100644 index 000000000..94e9e8c71 --- /dev/null +++ b/vision/mlp_mnist/docs/mlp.svg @@ -0,0 +1,143 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + From b67e5d2d398afa7dd53571e0d8968de19e57cd29 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sun, 13 Jun 2021 23:48:47 +0530 Subject: [PATCH 10/48] Updated README.md for mlp_mnist --- vision/mlp_mnist/README.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/vision/mlp_mnist/README.md b/vision/mlp_mnist/README.md index e69de29bb..dc89b633f 100644 --- a/vision/mlp_mnist/README.md +++ b/vision/mlp_mnist/README.md @@ -0,0 +1,18 @@ +# Multilayer Perceptron (MLP) + +![mlp](..\mlp_mnist\docs\mlp.svg) + +## Model Info + +An MLP consists of at least three of nodes: an input layer, a hidden layer and an output layer. Except for the input node each node is a neuron that uses a nonlinear activation function. MLP utilizes a supervised learning technique called backpropagation for training. Its multiple layers and non-linear activation distinguish MLP from a linear perceptron. It can distinguish data that is not linearly separable. + +## Training + +```script +cd vision/mlp_mnist +julia --project mlp_mnist.jl +``` + +## Reference + +[d2l.ai](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) \ No newline at end of file From 35996b7840b67b5c49f0a9f4fb3ede0ad91684a2 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 14 Jun 2021 00:00:49 +0530 Subject: [PATCH 11/48] Added vgg img in docs folder --- vision/vgg_cifar10/docs/vgg.png | Bin 0 -> 11376 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 vision/vgg_cifar10/docs/vgg.png diff --git a/vision/vgg_cifar10/docs/vgg.png b/vision/vgg_cifar10/docs/vgg.png new file mode 100644 index 0000000000000000000000000000000000000000..2b7104749b7e9e705fa6953da0e6b5cfbd0cd48e GIT binary patch literal 11376 zcmdUVXH-+$+HN2;=?aL_)h$(u(mO~~=`~8n0-=N=y%P`+kfKPh5_+U4J#F>kk~0}D}z9v;;Bw;NP*)^t`DBLgFsh22rr@; zTTUMk=nm;aRb?X|%dKe|598%#?C;1AVaS-2rP>zbMy~4D&Er@6NSk#IZr+x1&}<`P 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E7mO;D<^TWy literal 0 HcmV?d00001 From bc29baadd0a726d82ad102d87deb82bb89e39e5e Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 14 Jun 2021 00:09:34 +0530 Subject: [PATCH 12/48] Updated README.md for vgg_cifar10 --- vision/vgg_cifar10/README.md | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/vision/vgg_cifar10/README.md b/vision/vgg_cifar10/README.md index e69de29bb..cd1085782 100644 --- a/vision/vgg_cifar10/README.md +++ b/vision/vgg_cifar10/README.md @@ -0,0 +1,18 @@ +# Visual Geometry Group (VGG) + +![vgg](..\vgg_cifar10\docs\vgg.png) + +## Model Info + +The basic building block of classic CNNs is a sequence of the following: (i) a convolutional layer with padding to maintain the resolution, (ii) a nonlinearity such as a ReLU, (iii) a pooling layer such as a maximum pooling layer. _One VGG block consists of a sequence of convolutional layers, followed by a maximum pooling layer for spatial downsampling_. In the original VGG paper [Simonyan & Zisserman, 2014](https://arxiv.org/pdf/1409.1556v4.pdf), the authors employed convolutions with 3×3 kernels with padding of 1 (keeping height and width) and 2×2 maximum pooling with stride of 2 (halving the resolution after each block). + +## Training + +```shell +cd vision/vgg_cifar10 +julia --project vgg_cifar10.jl +``` + +## Reference + +[d2l.ai](http://d2l.ai/chapter_convolutional-modern/vgg.html) \ No newline at end of file From 04c0d8313f4aba59bd8c9ee083cbbc7d98c8d61d Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 14 Jun 2021 00:16:31 +0530 Subject: [PATCH 13/48] Addes vae img in docs folder --- vision/vae_mnist/docs/vae.png | Bin 0 -> 196236 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 vision/vae_mnist/docs/vae.png diff --git a/vision/vae_mnist/docs/vae.png b/vision/vae_mnist/docs/vae.png new file mode 100644 index 0000000000000000000000000000000000000000..cbf84817e24bbdf7c7851fc52e64647e03a8f9f0 GIT 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f6bde74d2..ebf0c3506 100644 --- a/vision/vae_mnist/README.md +++ b/vision/vae_mnist/README.md @@ -1,6 +1,9 @@ -# Variational Autoencoder(VAE) +# Variational Autoencoder (VAE) + + ## Training + ```shell cd vision/vae_mnist julia --project vae_mnist.jl @@ -23,13 +26,15 @@ Original image ![10 epochs](docs/epoch_20.png) ## Visualization + ```shell julia --project vae_plot.jl ``` + Latent space clustering ![Clustering](docs/clustering.png) 2D manifold -![Manifold](docs/manifold.png) \ No newline at end of file +![Manifold](docs/manifold.png) From cd686c427adfb86e8c20e4b93b10c4ec8c614968 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 14 Jun 2021 00:25:52 +0530 Subject: [PATCH 15/48] Updated vae_mnist README --- vision/vae_mnist/README.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/vision/vae_mnist/README.md b/vision/vae_mnist/README.md index ebf0c3506..0d0ba7b9b 100644 --- a/vision/vae_mnist/README.md +++ b/vision/vae_mnist/README.md @@ -2,6 +2,12 @@ +## Model Info + +Variational Autoencoder ( VAE ) came into existence in 2013, when Diederik et al. published a paper [Auto-Encoding Variational Bayes](https://arxiv.org/pdf/1312.6114.pdf). This paper was an extension of the original idea of Auto-Encoder primarily to learn the useful distribution of the data. Variational Autoencoder was inspired by the methods of the variational bayesian and graphical model. VAE is rooted in Bayesian inference, i.e., it wants to model the underlying probability distribution of data to sample new data from that distribution. + +VAE has one fundamentally unique property that separates them from vanilla autoencoder, and it is this property that makes them so useful for generative modeling: their latent spaces are, by design, continuous, allowing easy random sampling and interpolation. + ## Training ```shell @@ -38,3 +44,7 @@ Latent space clustering 2D manifold ![Manifold](docs/manifold.png) + +## Reference + +[learnopencv](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational%20Autoencoder%20%28VAE%29%20is%20a%20generative%20model%20that,Gaussian%20profile%20%28prior%20on%20the%20distribution%20of%20representations%29.) \ No newline at end of file From 7f8a3da9ba7e97c83b5d7fb79df9ba4ebf1fca36 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 12:00:03 +0530 Subject: [PATCH 16/48] Update vision/cdcgan_mnist/cGAN_mnist.jl Co-authored-by: Carlo Lucibello --- vision/cdcgan_mnist/cGAN_mnist.jl | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/vision/cdcgan_mnist/cGAN_mnist.jl b/vision/cdcgan_mnist/cGAN_mnist.jl index 82ff72008..e21108d26 100644 --- a/vision/cdcgan_mnist/cGAN_mnist.jl +++ b/vision/cdcgan_mnist/cGAN_mnist.jl @@ -187,5 +187,5 @@ end cd(@__DIR__) if abspath(PROGRAM_FILE) == @__FILE__ - fixed_labels = train() -end \ No newline at end of file + train() +end From 8a5b7e6e4b098ae385f7eeb07bb801f518fb81f4 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 12:13:10 +0530 Subject: [PATCH 17/48] Update vision/vae_mnist/README.md Co-authored-by: Carlo Lucibello --- vision/vae_mnist/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/vision/vae_mnist/README.md b/vision/vae_mnist/README.md index 0d0ba7b9b..4a80973d0 100644 --- a/vision/vae_mnist/README.md +++ b/vision/vae_mnist/README.md @@ -4,7 +4,7 @@ ## Model Info -Variational Autoencoder ( VAE ) came into existence in 2013, when Diederik et al. published a paper [Auto-Encoding Variational Bayes](https://arxiv.org/pdf/1312.6114.pdf). This paper was an extension of the original idea of Auto-Encoder primarily to learn the useful distribution of the data. Variational Autoencoder was inspired by the methods of the variational bayesian and graphical model. VAE is rooted in Bayesian inference, i.e., it wants to model the underlying probability distribution of data to sample new data from that distribution. +Variational Autoencoder ( VAE ) came into existence in 2013, when Kingma et al. published the paper [Auto-Encoding Variational Bayes](https://arxiv.org/pdf/1312.6114.pdf). This paper was an extension of the original idea of Auto-Encoder primarily to learn the distribution of the data. VAEs are devised within the variational inference framework and after training, they approximately model the data distribution, making it computationally cheap to generate new samples. VAE has one fundamentally unique property that separates them from vanilla autoencoder, and it is this property that makes them so useful for generative modeling: their latent spaces are, by design, continuous, allowing easy random sampling and interpolation. @@ -47,4 +47,4 @@ Latent space clustering ## Reference -[learnopencv](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational%20Autoencoder%20%28VAE%29%20is%20a%20generative%20model%20that,Gaussian%20profile%20%28prior%20on%20the%20distribution%20of%20representations%29.) \ No newline at end of file +[learnopencv](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational%20Autoencoder%20%28VAE%29%20is%20a%20generative%20model%20that,Gaussian%20profile%20%28prior%20on%20the%20distribution%20of%20representations%29.) From 3466de1723dd1439a998b59a327511212f14bf30 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 12:25:34 +0530 Subject: [PATCH 18/48] Update cdcgan_mnist README --- vision/cdcgan_mnist/README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/vision/cdcgan_mnist/README.md b/vision/cdcgan_mnist/README.md index 06b691eab..c400a623e 100644 --- a/vision/cdcgan_mnist/README.md +++ b/vision/cdcgan_mnist/README.md @@ -18,26 +18,26 @@ julia --project cGAN_mnist.jl 1000 training step -![1000 training step](..\cdcgan_mnist\output\cgan_steps_001000.png) +![1000 training step](../cdcgan_mnist/output/cgan_steps_001000.png) 3000 training step -![30000 trainig step](..\cdcgan_mnist\output\cgan_steps_003000.png) +![30000 trainig step](../cdcgan_mnist/output/cgan_steps_003000.png) 5000 training step -![5000 training step](..\cdcgan_mnist\output\cgan_steps_005000.png) +![5000 training step](../cdcgan_mnist/output/cgan_steps_005000.png) 10000 training step -![10000 training step](..\cdcgan_mnist\output\cgan_steps_010000.png) +![10000 training step](../cdcgan_mnist/output/cgan_steps_010000.png) 11725 training step -![11725 training step](..\cdcgan_mnist\output\cgan_steps_011725.png) +![11725 training step](../cdcgan_mnist/output/cgan_steps_011725.png) ## References -[arXiv](https://arxiv.org/pdf/1411.1784.pdf) +[Conditional Generative Adversarial Nets by Mehdi Mirza et al.](https://arxiv.org/pdf/1411.1784.pdf) -[Medium](https://medium.com/@utk.is.here/training-a-conditional-dc-gan-on-cifar-10-fce88395d610) \ No newline at end of file +[Medium](https://medium.com/@utk.is.here/training-a-conditional-dc-gan-on-cifar-10-fce88395d610) From 20e5bb91938a98ef1261af30c6736ce67824ec9c Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 12:32:58 +0530 Subject: [PATCH 19/48] Update conv_mnist README --- vision/conv_mnist/README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/vision/conv_mnist/README.md b/vision/conv_mnist/README.md index 601fda2b6..bdf9b10f3 100644 --- a/vision/conv_mnist/README.md +++ b/vision/conv_mnist/README.md @@ -1,6 +1,6 @@ # LeNet-5 -![LeNet-5](..\conv_mnist\docs\LeNet-5.png) +![LeNet-5](../conv_mnist/docs/LeNet-5.png) ## Model Info @@ -19,4 +19,6 @@ julia --project conv_mnist.jl ## Reference -[d2l.ai](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) \ No newline at end of file +[Gradient-Based Learning Applied to Document Recognition by Yann LeCun et al.](http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf) + +[d2l.ai](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) From 0b3ecdb646c4bac5174e7873f96bef2e6c9c860b Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Wed, 16 Jun 2021 12:52:46 +0530 Subject: [PATCH 20/48] Update dcgan_mnist README --- vision/dcgan_mnist/README.md | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md index 83474ba4d..f46d7e1f8 100644 --- a/vision/dcgan_mnist/README.md +++ b/vision/dcgan_mnist/README.md @@ -1,6 +1,6 @@ # Deep Convolutional GAN -![dcgan_gen_disc](..\dcgan_mnist\docs\dcgan_generator_discriminator.png) +![dcgan_gen_disc](../dcgan_mnist/docs/dcgan_generator_discriminator.png) ## Model Info @@ -17,22 +17,22 @@ julia --project dcgan_mnist.jl 2000 training step -![2000 training steps](..\dcgan_mnist\output\dcgan_steps_002000.png) +![2000 training steps](../dcgan_mnist/output/dcgan_steps_002000.png) 5000 training step -![5000 training steps](..\dcgan_mnist\output\dcgan_steps_005000.png) +![5000 training steps](../dcgan_mnist/output/dcgan_steps_005000.png) 8000 training step -![8000 training steps](..\dcgan_mnist\output\dcgan_steps_008000.png) +![8000 training steps](../dcgan_mnist/output/dcgan_steps_008000.png) 9380 training step -![9380 training step](..\dcgan_mnist\output\dcgan_steps_009380.png) +![9380 training step](../dcgan_mnist/output/dcgan_steps_009380.png) ## References -[arXiv](https://arxiv.org/pdf/1511.06434v2.pdf) +[Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks by Soumith Chintala et al.](https://arxiv.org/pdf/1511.06434v2.pdf) [pytorch.org/tutorials/beginner/dcgan_faces_tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html) \ No newline at end of file From f9a42fe375de3a923346d5df6f161a514f91e140 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Wed, 16 Jun 2021 12:54:29 +0530 Subject: [PATCH 21/48] Update mlp_mnist README --- vision/mlp_mnist/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/vision/mlp_mnist/README.md b/vision/mlp_mnist/README.md index dc89b633f..ec7241f46 100644 --- a/vision/mlp_mnist/README.md +++ b/vision/mlp_mnist/README.md @@ -1,6 +1,6 @@ # Multilayer Perceptron (MLP) -![mlp](..\mlp_mnist\docs\mlp.svg) +![mlp](../mlp_mnist/docs/mlp.svg) ## Model Info @@ -15,4 +15,4 @@ julia --project mlp_mnist.jl ## Reference -[d2l.ai](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) \ No newline at end of file +[d2l.ai](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) From 4790b638ba68158fe27ca17c117c7a60971d173e Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Wed, 16 Jun 2021 12:57:37 +0530 Subject: [PATCH 22/48] Update vgg_cifar10 README --- vision/vgg_cifar10/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision/vgg_cifar10/README.md b/vision/vgg_cifar10/README.md index cd1085782..9294419f5 100644 --- a/vision/vgg_cifar10/README.md +++ b/vision/vgg_cifar10/README.md @@ -1,6 +1,6 @@ # Visual Geometry Group (VGG) -![vgg](..\vgg_cifar10\docs\vgg.png) +![vgg](../vgg_cifar10/docs/vgg.png) ## Model Info From 69c3897ebd95b860e70e6a4e3e53cf31e27999cd Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Wed, 16 Jun 2021 14:18:05 +0530 Subject: [PATCH 23/48] Removed cd from cGAN_mnist.jl --- vision/cdcgan_mnist/cGAN_mnist.jl | 1 - 1 file changed, 1 deletion(-) diff --git a/vision/cdcgan_mnist/cGAN_mnist.jl b/vision/cdcgan_mnist/cGAN_mnist.jl index e21108d26..c05c99289 100644 --- a/vision/cdcgan_mnist/cGAN_mnist.jl +++ b/vision/cdcgan_mnist/cGAN_mnist.jl @@ -185,7 +185,6 @@ function train(; kws...) return Flux.onecold.(cpu(fixed_labels)) end -cd(@__DIR__) if abspath(PROGRAM_FILE) == @__FILE__ train() end From f1c9c024a8e6aed263ef398b2aca15cd783676e8 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:23:02 +0530 Subject: [PATCH 24/48] Added newline in cGAN_mnist --- vision/cdcgan_mnist/cGAN_mnist.jl | 2 ++ 1 file changed, 2 insertions(+) diff --git a/vision/cdcgan_mnist/cGAN_mnist.jl b/vision/cdcgan_mnist/cGAN_mnist.jl index c05c99289..1d5667025 100644 --- a/vision/cdcgan_mnist/cGAN_mnist.jl +++ b/vision/cdcgan_mnist/cGAN_mnist.jl @@ -188,3 +188,5 @@ end if abspath(PROGRAM_FILE) == @__FILE__ train() end + + From 48fc214ff89e156273f494f8b3a1620adad0c049 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:24:57 +0530 Subject: [PATCH 25/48] Added newline to conv_mnist --- vision/conv_mnist/conv_mnist.jl | 1 + 1 file changed, 1 insertion(+) diff --git a/vision/conv_mnist/conv_mnist.jl b/vision/conv_mnist/conv_mnist.jl index 29e7bb01f..42b866513 100644 --- a/vision/conv_mnist/conv_mnist.jl +++ b/vision/conv_mnist/conv_mnist.jl @@ -160,3 +160,4 @@ end if abspath(PROGRAM_FILE) == @__FILE__ train() end + From 83571b65a8761d177b62cfcb0b92605237ca645b Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:25:55 +0530 Subject: [PATCH 26/48] Added dcgan_generator_discriminator.png for readme --- .../output/dcgan_generator_discriminator.png | Bin 0 -> 58079 bytes 1 file changed, 0 insertions(+), 0 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2021 14:26:42 +0530 Subject: [PATCH 27/48] Updated dcgan_mnist README --- vision/dcgan_mnist/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md index f46d7e1f8..1b1e73b28 100644 --- a/vision/dcgan_mnist/README.md +++ b/vision/dcgan_mnist/README.md @@ -1,6 +1,6 @@ # Deep Convolutional GAN -![dcgan_gen_disc](../dcgan_mnist/docs/dcgan_generator_discriminator.png) +![dcgan_gen_disc](../dcgan_mnist/output/dcgan_generator_discriminator.png) ## Model Info @@ -35,4 +35,4 @@ julia --project dcgan_mnist.jl [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks by Soumith Chintala et al.](https://arxiv.org/pdf/1511.06434v2.pdf) -[pytorch.org/tutorials/beginner/dcgan_faces_tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html) \ No newline at end of file +[pytorch.org/tutorials/beginner/dcgan_faces_tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html) From 0916e55b31821bf692daec284be32da9c23f6ced Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:31:49 +0530 Subject: [PATCH 28/48] Removed `cd` from dcgan_mnist and added newline --- vision/dcgan_mnist/dcgan_mnist.jl | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision/dcgan_mnist/dcgan_mnist.jl b/vision/dcgan_mnist/dcgan_mnist.jl index ee3767fb6..8caa70e3f 100644 --- a/vision/dcgan_mnist/dcgan_mnist.jl +++ b/vision/dcgan_mnist/dcgan_mnist.jl @@ -144,7 +144,7 @@ function train(; kws...) save(@sprintf("output/dcgan_steps_%06d.png", train_steps), output_image) end -cd(@__DIR__) if abspath(PROGRAM_FILE) == @__FILE__ train() end + From d7751ce4d4dce7863ec69d1e6e4f785261e5678f Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:32:47 +0530 Subject: [PATCH 29/48] Added newline to mlp_mnist --- vision/mlp_mnist/mlp_mnist.jl | 1 + 1 file changed, 1 insertion(+) diff --git a/vision/mlp_mnist/mlp_mnist.jl b/vision/mlp_mnist/mlp_mnist.jl index de506129d..2ac8d77d0 100644 --- a/vision/mlp_mnist/mlp_mnist.jl +++ b/vision/mlp_mnist/mlp_mnist.jl @@ -100,3 +100,4 @@ if abspath(PROGRAM_FILE) == @__FILE__ train() end # train(η=0.01) # can change hyperparameters + From 228e9c38f0f1b0918650db17a8f7ad9e2d232767 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:33:45 +0530 Subject: [PATCH 30/48] Added newline to vae_mnist --- vision/vae_mnist/vae_mnist.jl | 1 + 1 file changed, 1 insertion(+) diff --git a/vision/vae_mnist/vae_mnist.jl b/vision/vae_mnist/vae_mnist.jl index 5780b361c..3de1be626 100644 --- a/vision/vae_mnist/vae_mnist.jl +++ b/vision/vae_mnist/vae_mnist.jl @@ -175,3 +175,4 @@ end if abspath(PROGRAM_FILE) == @__FILE__ train() end + From fb4aa566323cdacf386ce81b5e1ac78b0ea01879 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:34:44 +0530 Subject: [PATCH 31/48] Added newline to vgg_cifar10 --- vision/vgg_cifar10/vgg_cifar10.jl | 1 + 1 file changed, 1 insertion(+) diff --git a/vision/vgg_cifar10/vgg_cifar10.jl b/vision/vgg_cifar10/vgg_cifar10.jl index 6742fe778..e88d45fa2 100644 --- a/vision/vgg_cifar10/vgg_cifar10.jl +++ b/vision/vgg_cifar10/vgg_cifar10.jl @@ -150,3 +150,4 @@ if abspath(PROGRAM_FILE) == @__FILE__ m = train() test(m) end + From 3289e2fd61c90bef69d7fcf846a5d503a40b537b Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Wed, 16 Jun 2021 14:45:22 +0530 Subject: [PATCH 32/48] Updated model info of VAE --- vision/vae_mnist/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision/vae_mnist/README.md b/vision/vae_mnist/README.md index 4a80973d0..0a8543bc4 100644 --- a/vision/vae_mnist/README.md +++ b/vision/vae_mnist/README.md @@ -6,7 +6,7 @@ Variational Autoencoder ( VAE ) came into existence in 2013, when Kingma et al. published the paper [Auto-Encoding Variational Bayes](https://arxiv.org/pdf/1312.6114.pdf). This paper was an extension of the original idea of Auto-Encoder primarily to learn the distribution of the data. VAEs are devised within the variational inference framework and after training, they approximately model the data distribution, making it computationally cheap to generate new samples. -VAE has one fundamentally unique property that separates them from vanilla autoencoder, and it is this property that makes them so useful for generative modeling: their latent spaces are, by design, continuous, allowing easy random sampling and interpolation. +In VAE the idea is to encode the input as a probability distribution rather than a point estimate as in vanilla auto-encoder. Then VAE uses a decoder to reconstruct the original input by using samples from that probability distribution. ## Training From 170fefef30edb76c21c62960a53bd294a59d38c5 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 00:11:17 +0530 Subject: [PATCH 33/48] Updated vae_mnist README --- vision/vae_mnist/README.md | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) diff --git a/vision/vae_mnist/README.md b/vision/vae_mnist/README.md index 0a8543bc4..ff315537d 100644 --- a/vision/vae_mnist/README.md +++ b/vision/vae_mnist/README.md @@ -1,6 +1,8 @@ # Variational Autoencoder (VAE) - + + +[Source](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational) ## Model Info @@ -45,6 +47,8 @@ Latent space clustering ![Manifold](docs/manifold.png) -## Reference +## References + +[Kingma, Diederik P., and Max Welling. “Auto-Encoding Variational Bayes.” ArXiv Preprint ArXiv:1312.6114, 2013.](https://arxiv.org/pdf/1312.6114.pdf) -[learnopencv](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational%20Autoencoder%20%28VAE%29%20is%20a%20generative%20model%20that,Gaussian%20profile%20%28prior%20on%20the%20distribution%20of%20representations%29.) +[Variational Autoencoder in TensorFlow](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational.) From 64c8ac5be936a3127166941d0ecb46c209591148 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 00:15:01 +0530 Subject: [PATCH 34/48] Updated vae_mnist README --- vision/vae_mnist/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/vision/vae_mnist/README.md b/vision/vae_mnist/README.md index ff315537d..40594dccd 100644 --- a/vision/vae_mnist/README.md +++ b/vision/vae_mnist/README.md @@ -49,6 +49,6 @@ Latent space clustering ## References -[Kingma, Diederik P., and Max Welling. “Auto-Encoding Variational Bayes.” ArXiv Preprint ArXiv:1312.6114, 2013.](https://arxiv.org/pdf/1312.6114.pdf) +* [Kingma, Diederik P., and Max Welling. “Auto-Encoding Variational Bayes.” ArXiv Preprint ArXiv:1312.6114, 2013.](https://arxiv.org/pdf/1312.6114.pdf) -[Variational Autoencoder in TensorFlow](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational.) +* [Variational Autoencoder in TensorFlow](https://learnopencv.com/variational-autoencoder-in-tensorflow/#:~:text=Variational.) From 7064bbf2783dd0d20a4575327f225b169949174f Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 00:33:08 +0530 Subject: [PATCH 35/48] Updated cdcgan_mnist README --- vision/cdcgan_mnist/README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/vision/cdcgan_mnist/README.md b/vision/cdcgan_mnist/README.md index c400a623e..dffaa1203 100644 --- a/vision/cdcgan_mnist/README.md +++ b/vision/cdcgan_mnist/README.md @@ -1,7 +1,9 @@ -# Conditional DCGAN +# Conditional DC-GAN +[Source](https://arxiv.org/pdf/1411.1784.pdf) + ## Model Info Generative Adversarial Networks have two models, a _Generator model G(z)_ and a _Discriminator model D(x)_, in competition with each other. G tries to estimate the distribution of the training data and D tries to estimate the probability that a data sample came from the original training data and not from G. During training, the Generator learns a mapping from a _prior distribution p(z)_ to the _data space G(z)_. The discriminator D(x) produces a probability value of a given x coming from the actual training data. @@ -38,6 +40,6 @@ julia --project cGAN_mnist.jl ## References -[Conditional Generative Adversarial Nets by Mehdi Mirza et al.](https://arxiv.org/pdf/1411.1784.pdf) +* [Mirza, M. and Osindero, S., “Conditional Generative Adversarial Nets”, arXiv e-prints, 2014.](https://arxiv.org/pdf/1411.1784.pdf) -[Medium](https://medium.com/@utk.is.here/training-a-conditional-dc-gan-on-cifar-10-fce88395d610) +* [Training a Conditional DC-GAN on CIFAR-10](https://medium.com/@utk.is.here/training-a-conditional-dc-gan-on-cifar-10-fce88395d610) From 8f0d12d22d7e48cf8bdfeeb7bd27ab3564da5c44 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 00:37:43 +0530 Subject: [PATCH 36/48] Updated conv_mnist README --- vision/conv_mnist/README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/vision/conv_mnist/README.md b/vision/conv_mnist/README.md index bdf9b10f3..aa01c65a2 100644 --- a/vision/conv_mnist/README.md +++ b/vision/conv_mnist/README.md @@ -2,6 +2,8 @@ ![LeNet-5](../conv_mnist/docs/LeNet-5.png) +[Source](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) + ## Model Info At a high level LeNet (LeNet-5) consists of two parts: @@ -17,8 +19,8 @@ cd vision/conv_mnist julia --project conv_mnist.jl ``` -## Reference +## References -[Gradient-Based Learning Applied to Document Recognition by Yann LeCun et al.](http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf) +* [Y. Lecun, L. Bottou, Y. Bengio and P. Haffner, "Gradient-based learning applied to document recognition," in Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998, doi: 10.1109/5.726791.](http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf) -[d2l.ai](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) +* [Convolutional Neural Networks (LeNet)](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) From 5de75fa2d58bb33053b7acf6869e8a75cc4f7d54 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 00:57:55 +0530 Subject: [PATCH 37/48] Updated dcgan_mnist README --- vision/dcgan_mnist/README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md index 1b1e73b28..69288d112 100644 --- a/vision/dcgan_mnist/README.md +++ b/vision/dcgan_mnist/README.md @@ -1,10 +1,11 @@ -# Deep Convolutional GAN +# Deep Convolutional GAN (DC-GAN) ![dcgan_gen_disc](../dcgan_mnist/output/dcgan_generator_discriminator.png) +[Source](https://gluon.mxnet.io/chapter14_generative-adversarial-networks/dcgan.html) ## Model Info -A DCGAN is a direct extension of the GAN, except that it explicitly uses convolutional and convolutional-transpose layers in the discriminator and generator, respectively. _The discriminator is made up of strided convolution layers, batch norm layers, and LeakyReLU activations_. The input is a 3x64x64 input image and the output is a scalar probability that the input is from the real data distribution. _The generator is comprised of convolutional-transpose layers, batch norm layers, and ReLU activations_. The input is a latent vector, _z_, that is drawn from a standard normal distribution and the output is a 3x64x64 RGB image. The strided conv-transpose layers allow the latent vector to be transformed into a volume with the same shape as an image. +A DC-GAN is a direct extension of the GAN, except that it explicitly uses convolutional and transposed convolutions layers in the discriminator and generator, respectively. _The discriminator is made up of strided convolution layers, batch norm layers, and LeakyReLU activations. The generator is comprised of transposed convolutions layers, batch norm layers, and ReLU activations_. ## Training @@ -33,6 +34,6 @@ julia --project dcgan_mnist.jl ## References -[Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks by Soumith Chintala et al.](https://arxiv.org/pdf/1511.06434v2.pdf) +* [Radford, A. et al.: Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks, http://arxiv.org/abs/1511.06434, (2015).](https://arxiv.org/pdf/1511.06434v2.pdf) -[pytorch.org/tutorials/beginner/dcgan_faces_tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html) +* [pytorch.org/tutorials/beginner/dcgan_faces_tutorial](https://pytorch.org/tutorials/beginner/dcgan_faces_tutorial.html) From 87e70f1583a87a42d854d13c26010dee6f1ef696 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 01:01:15 +0530 Subject: [PATCH 38/48] Updated mlp_mnist README --- vision/mlp_mnist/README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/vision/mlp_mnist/README.md b/vision/mlp_mnist/README.md index ec7241f46..5c6360c19 100644 --- a/vision/mlp_mnist/README.md +++ b/vision/mlp_mnist/README.md @@ -1,6 +1,7 @@ # Multilayer Perceptron (MLP) ![mlp](../mlp_mnist/docs/mlp.svg) +[Source](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) ## Model Info @@ -15,4 +16,4 @@ julia --project mlp_mnist.jl ## Reference -[d2l.ai](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) +* [Multilayer Perceptrons](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) From 944a8d35a11b927cd2f122e15a9761eb9ec43e18 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 01:07:59 +0530 Subject: [PATCH 39/48] Updated mlp_mnist README --- vision/mlp_mnist/README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/vision/mlp_mnist/README.md b/vision/mlp_mnist/README.md index 5c6360c19..060ba9121 100644 --- a/vision/mlp_mnist/README.md +++ b/vision/mlp_mnist/README.md @@ -16,4 +16,10 @@ julia --project mlp_mnist.jl ## Reference -* [Multilayer Perceptrons](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) +* [@book +{zhang2020dive, +title={Dive into Deep Learning}, +author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola}, +note={\url{https://d2l.ai}}, +year={2020} +}](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) From 7d1b846e6a854f6ce3cd8549ff061e3487fe7df9 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 01:08:49 +0530 Subject: [PATCH 40/48] Updated mlp_mnist README --- vision/mlp_mnist/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/vision/mlp_mnist/README.md b/vision/mlp_mnist/README.md index 060ba9121..4fb2feebd 100644 --- a/vision/mlp_mnist/README.md +++ b/vision/mlp_mnist/README.md @@ -1,6 +1,7 @@ # Multilayer Perceptron (MLP) ![mlp](../mlp_mnist/docs/mlp.svg) + [Source](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) ## Model Info From 823b274e790e3e25738c28edc4823d4d50424858 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 01:11:01 +0530 Subject: [PATCH 41/48] Updated conv_mnist README --- vision/conv_mnist/README.md | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/vision/conv_mnist/README.md b/vision/conv_mnist/README.md index aa01c65a2..aaf36c03a 100644 --- a/vision/conv_mnist/README.md +++ b/vision/conv_mnist/README.md @@ -23,4 +23,10 @@ julia --project conv_mnist.jl * [Y. Lecun, L. Bottou, Y. Bengio and P. Haffner, "Gradient-based learning applied to document recognition," in Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998, doi: 10.1109/5.726791.](http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf) -* [Convolutional Neural Networks (LeNet)](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) +* [@book +{zhang2020dive, +title={Dive into Deep Learning}, +author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola}, +note={\url{https://d2l.ai}}, +year={2020} +})](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) From 8021b8f21c046e88289aa2a654857090373a2477 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Sat, 19 Jun 2021 01:41:25 +0530 Subject: [PATCH 42/48] Updated vgg_cifar10 README --- vision/vgg_cifar10/README.md | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/vision/vgg_cifar10/README.md b/vision/vgg_cifar10/README.md index 9294419f5..77ae66a53 100644 --- a/vision/vgg_cifar10/README.md +++ b/vision/vgg_cifar10/README.md @@ -2,9 +2,11 @@ ![vgg](../vgg_cifar10/docs/vgg.png) +[Source](http://d2l.ai/chapter_convolutional-modern/vgg.html) + ## Model Info -The basic building block of classic CNNs is a sequence of the following: (i) a convolutional layer with padding to maintain the resolution, (ii) a nonlinearity such as a ReLU, (iii) a pooling layer such as a maximum pooling layer. _One VGG block consists of a sequence of convolutional layers, followed by a maximum pooling layer for spatial downsampling_. In the original VGG paper [Simonyan & Zisserman, 2014](https://arxiv.org/pdf/1409.1556v4.pdf), the authors employed convolutions with 3×3 kernels with padding of 1 (keeping height and width) and 2×2 maximum pooling with stride of 2 (halving the resolution after each block). +The basic building block of classic CNNs is a sequence of the following: (i) a convolutional layer with padding to maintain the resolution, (ii) a nonlinearity such as a ReLU, (iii) a pooling layer such as a maximum pooling layer. _One VGG block consists of a sequence of convolutional layers, followed by a maximum pooling layer for spatial downsampling_. In the original VGG paper [Simonyan & Zisserman, 2015](https://arxiv.org/pdf/1409.1556v4.pdf), the authors employed convolutions with 3×3 kernels with padding of 1 (keeping height and width) and 2×2 maximum pooling with stride of 2 (halving the resolution after each block). ## Training @@ -13,6 +15,15 @@ cd vision/vgg_cifar10 julia --project vgg_cifar10.jl ``` -## Reference +## References + +* [Simonyan, K. and Zisserman, A., “Very Deep Convolutional Networks for Large-Scale Image Recognition”, arXiv e-prints, 2015. +](https://arxiv.org/pdf/1409.1556v4.pdf) -[d2l.ai](http://d2l.ai/chapter_convolutional-modern/vgg.html) \ No newline at end of file +* [@book +{zhang2020dive, +title={Dive into Deep Learning}, +author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola}, +note={\url{https://d2l.ai}}, +year={2020} +}](http://d2l.ai/chapter_convolutional-modern/vgg.html) From b35c585693b503d1d856ace6dd5ca6c391efeaf7 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Mon, 21 Jun 2021 22:31:49 +0530 Subject: [PATCH 43/48] Update vision/vae_mnist/README.md Co-authored-by: Brian Chen --- vision/vae_mnist/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision/vae_mnist/README.md b/vision/vae_mnist/README.md index 40594dccd..09a009713 100644 --- a/vision/vae_mnist/README.md +++ b/vision/vae_mnist/README.md @@ -6,7 +6,7 @@ ## Model Info -Variational Autoencoder ( VAE ) came into existence in 2013, when Kingma et al. published the paper [Auto-Encoding Variational Bayes](https://arxiv.org/pdf/1312.6114.pdf). This paper was an extension of the original idea of Auto-Encoder primarily to learn the distribution of the data. VAEs are devised within the variational inference framework and after training, they approximately model the data distribution, making it computationally cheap to generate new samples. +Variational Autoencoder (VAE) came into existence in 2013, when Kingma et al. published the paper [Auto-Encoding Variational Bayes](https://arxiv.org/pdf/1312.6114.pdf). This paper was an extension of the original idea of Auto-Encoder primarily to learn the distribution of the data. VAEs are devised within the variational inference framework and approximately model the data distribution after training, making it computationally cheap to generate new samples. In VAE the idea is to encode the input as a probability distribution rather than a point estimate as in vanilla auto-encoder. Then VAE uses a decoder to reconstruct the original input by using samples from that probability distribution. From b7bb76174e77f37d8ed93802fe2a4565aa2d101f Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 21 Jun 2021 22:49:21 +0530 Subject: [PATCH 44/48] corrected path in cdcgan_mnist --- vision/cdcgan_mnist/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision/cdcgan_mnist/README.md b/vision/cdcgan_mnist/README.md index dffaa1203..6eb108386 100644 --- a/vision/cdcgan_mnist/README.md +++ b/vision/cdcgan_mnist/README.md @@ -1,6 +1,6 @@ # Conditional DC-GAN - + [Source](https://arxiv.org/pdf/1411.1784.pdf) From 7930c10f2d72306da6d0444f039179ba67383e62 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 21 Jun 2021 23:45:48 +0530 Subject: [PATCH 45/48] updated dcgan_mnist readme --- vision/dcgan_mnist/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md index 69288d112..f6f1992eb 100644 --- a/vision/dcgan_mnist/README.md +++ b/vision/dcgan_mnist/README.md @@ -5,7 +5,7 @@ ## Model Info -A DC-GAN is a direct extension of the GAN, except that it explicitly uses convolutional and transposed convolutions layers in the discriminator and generator, respectively. _The discriminator is made up of strided convolution layers, batch norm layers, and LeakyReLU activations. The generator is comprised of transposed convolutions layers, batch norm layers, and ReLU activations_. +A DC-GAN is a direct extension of the GAN, except that it explicitly uses convolutional and transposed convolutions layers in the discriminator and generator, respectively. The discriminator is made up of strided convolution layers, batch norm layers, and LeakyReLU activations. The generator is comprised of transposed convolutions layers, batch norm layers, and ReLU activations. ## Training From 390692f7806177ddd85ff27472e27be085fe65ff Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 21 Jun 2021 23:53:06 +0530 Subject: [PATCH 46/48] updated dcgan_mnist README --- vision/dcgan_mnist/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md index f6f1992eb..2301e0ef2 100644 --- a/vision/dcgan_mnist/README.md +++ b/vision/dcgan_mnist/README.md @@ -5,7 +5,7 @@ ## Model Info -A DC-GAN is a direct extension of the GAN, except that it explicitly uses convolutional and transposed convolutions layers in the discriminator and generator, respectively. The discriminator is made up of strided convolution layers, batch norm layers, and LeakyReLU activations. The generator is comprised of transposed convolutions layers, batch norm layers, and ReLU activations. +A DC-GAN is a direct extension of the GAN, except that it explicitly uses convolutional and transposed convolutional layers in the discriminator and generator, respectively. The discriminator is made up of strided convolutional layers, batch norm layers, and LeakyReLU activations. The generator is comprised of transposed convolutional layers, batch norm layers, and ReLU activations. ## Training From ebcd810b7e463879695199b1c381b13936f10568 Mon Sep 17 00:00:00 2001 From: Aditya Tewary Date: Mon, 27 Sep 2021 22:45:50 +0530 Subject: [PATCH 47/48] made needed changes --- vision/conv_mnist/README.md | 8 +------- vision/dcgan_mnist/README.md | 10 +++++----- vision/mlp_mnist/README.md | 8 +------- vision/vgg_cifar10/README.md | 8 +------- 4 files changed, 8 insertions(+), 26 deletions(-) diff --git a/vision/conv_mnist/README.md b/vision/conv_mnist/README.md index aaf36c03a..b95f86a86 100644 --- a/vision/conv_mnist/README.md +++ b/vision/conv_mnist/README.md @@ -23,10 +23,4 @@ julia --project conv_mnist.jl * [Y. Lecun, L. Bottou, Y. Bengio and P. Haffner, "Gradient-based learning applied to document recognition," in Proceedings of the IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998, doi: 10.1109/5.726791.](http://yann.lecun.com/exdb/publis/pdf/lecun-01a.pdf) -* [@book -{zhang2020dive, -title={Dive into Deep Learning}, -author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola}, -note={\url{https://d2l.ai}}, -year={2020} -})](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) +* [Aston Zhang, Zachary C. Lipton, Mu Li and Alexander J. Smola, "Dive into Deep Learning", 2020](https://d2l.ai/chapter_convolutional-neural-networks/lenet.html) diff --git a/vision/dcgan_mnist/README.md b/vision/dcgan_mnist/README.md index 2301e0ef2..438e92cbb 100644 --- a/vision/dcgan_mnist/README.md +++ b/vision/dcgan_mnist/README.md @@ -16,21 +16,21 @@ julia --project dcgan_mnist.jl ## Results -2000 training step +2000 training steps ![2000 training steps](../dcgan_mnist/output/dcgan_steps_002000.png) -5000 training step +5000 training steps ![5000 training steps](../dcgan_mnist/output/dcgan_steps_005000.png) -8000 training step +8000 training steps ![8000 training steps](../dcgan_mnist/output/dcgan_steps_008000.png) -9380 training step +9380 training steps -![9380 training step](../dcgan_mnist/output/dcgan_steps_009380.png) +![9380 training steps](../dcgan_mnist/output/dcgan_steps_009380.png) ## References diff --git a/vision/mlp_mnist/README.md b/vision/mlp_mnist/README.md index 4fb2feebd..849b987aa 100644 --- a/vision/mlp_mnist/README.md +++ b/vision/mlp_mnist/README.md @@ -17,10 +17,4 @@ julia --project mlp_mnist.jl ## Reference -* [@book -{zhang2020dive, -title={Dive into Deep Learning}, -author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola}, -note={\url{https://d2l.ai}}, -year={2020} -}](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) +* [Aston Zhang, Zachary C. Lipton, Mu Li and Alexander J. Smola, "Dive into Deep Learning", 2020](http://d2l.ai/chapter_multilayer-perceptrons/mlp.html) diff --git a/vision/vgg_cifar10/README.md b/vision/vgg_cifar10/README.md index 77ae66a53..946d5ebee 100644 --- a/vision/vgg_cifar10/README.md +++ b/vision/vgg_cifar10/README.md @@ -20,10 +20,4 @@ julia --project vgg_cifar10.jl * [Simonyan, K. and Zisserman, A., “Very Deep Convolutional Networks for Large-Scale Image Recognition”, arXiv e-prints, 2015. ](https://arxiv.org/pdf/1409.1556v4.pdf) -* [@book -{zhang2020dive, -title={Dive into Deep Learning}, -author={Aston Zhang and Zachary C. Lipton and Mu Li and Alexander J. Smola}, -note={\url{https://d2l.ai}}, -year={2020} -}](http://d2l.ai/chapter_convolutional-modern/vgg.html) +* [Aston Zhang, Zachary C. Lipton, Mu Li and Alexander J. Smola, "Dive into Deep Learning", 2020](http://d2l.ai/chapter_convolutional-modern/vgg.html) From d7ad4155ff7c0dea1652b48e258ba0fb79ffa2f6 Mon Sep 17 00:00:00 2001 From: Aditya Tewary <40900556+aditkumar72@users.noreply.github.com> Date: Mon, 27 Sep 2021 22:48:29 +0530 Subject: [PATCH 48/48] made needed changes --- vision/cdcgan_mnist/README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/vision/cdcgan_mnist/README.md b/vision/cdcgan_mnist/README.md index 6eb108386..ceb4e71da 100644 --- a/vision/cdcgan_mnist/README.md +++ b/vision/cdcgan_mnist/README.md @@ -18,25 +18,25 @@ julia --project cGAN_mnist.jl ## Results -1000 training step +1000 training steps -![1000 training step](../cdcgan_mnist/output/cgan_steps_001000.png) +![1000 training steps](../cdcgan_mnist/output/cgan_steps_001000.png) -3000 training step +3000 training steps -![30000 trainig step](../cdcgan_mnist/output/cgan_steps_003000.png) +![30000 trainig steps](../cdcgan_mnist/output/cgan_steps_003000.png) -5000 training step +5000 training steps -![5000 training step](../cdcgan_mnist/output/cgan_steps_005000.png) +![5000 training steps](../cdcgan_mnist/output/cgan_steps_005000.png) -10000 training step +10000 training steps -![10000 training step](../cdcgan_mnist/output/cgan_steps_010000.png) +![10000 training steps](../cdcgan_mnist/output/cgan_steps_010000.png) -11725 training step +11725 training steps -![11725 training step](../cdcgan_mnist/output/cgan_steps_011725.png) +![11725 training steps](../cdcgan_mnist/output/cgan_steps_011725.png) ## References