Assginemt 5 - TensorFlow Tutorial 1 - Exploring the Tensorflow Library 1.1 - Linear function 1.2 - Computing the sigmoid 1.3 - Computing the Cost 1.4 - Using One Hot encodings 1.5 - Initialize with zeros and ones 2 - Building your first neural network in tensorflow 2.0 - Problem statement: SIGNS Dataset 2.1 - Create placeholders 2.2 - Initializing the parameters 2.3 - Forward propagation in tensorflow 2.4 Compute cost 2.5 - Backward propagation & parameter updates 2.6 - Building the model 2.7 - Test with your own image (optional / ungraded exercise) Assginemt 5