Deep Learning Specialization

Course 1 - Neural Networks and Deep Learning

Week 1 - Introduction to deep learning

Week 2 - Neural Networks Basics

Week 3 - Shallow neural networks

Week 4 - Deep Neural Networks

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Assginment 1 - Logistic Regression with a Neural Network mindset

Assginment 2 - Planar data classification with one hidden layer

Assginment 3 - Building your Deep Neural Network: Step by Step

Assginment 4 - Deep Neural Network for Image Classification: Application

Course 2 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Week 1 - Practical aspects of Deep Learning

Week 2 - Optimization algorithms

Week 3 - Hyperparameter tuning, Batch Normalization and Programming Frameworks

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Assginment 1 - initialization

Assginment 2 - Regularization

Assginment 3 - Gradient Checking

Assginment 4 - Optimization Methods

Assginment 5 - TensorFlow Tutorial

Course 3 - Structuring Machine Learning Projects

Week 1 - ML Strategy (1)

Week 2 - ML Strategy (2)

Course 4 - Convolutional Neural Networks

Week 1 - Foundations of Convolutional Neural Networks

Week 2 - Deep convolutional models: case studies

Week 3 - Object detection

Week 4 - Special applications: Face recognition & Neural style transfer

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Assginment 1 - Convolutional Neural Networks: Step by Step

Assginment 2 - Convolutional Neural Networks: Application

Assginment 3 - Residual Networks

Assginment 4 - Autonomous driving - Car detection

Assginment 5 - Face Recognition for the Happy House

Assginment 6 - Deep Learning & Art: Neural Style Transfer

Course 5 - Sequence Models

Week 1 - Recurrent Neural Networks

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Assginment 1 - Building a recurrent neural network - step by step

Assginment 2 - Dinosaur Island - Character-Level Language Modeling

Assginment 3 - Jazz improvisation with LSTM