Deep Learning Specialization - Coursera Course 1 - Neural Networks and Deep Learning Notes PDF Source Assignments Week 2 01 - Python Basics with Numpy 02 - Logistic Regression as a Neural Network Week 3 02 - Planar Data Classification with One Hidden Layer Week 4 01 - Building your Deep Neural Network - Step by Step 02 - Deep Neural Network Application - Image Classification Course 2 - Hyperparameters, Regularization, and Optimization Notes PDF Source Assignments Week 1 01 - Initialization 02 - Regularization 03 - Gradient Checking Week 2 01 - Optimization Methods Course 3 - Structuring ML Projects Notes PDF Source Course 4 - Convolutional Neural Networks and Computer Vision Notes (IN PROGRESS) Assignments Week 1 01 - Convolution Model - Step by Step 02 - Convolution Model - Application (Done with Keras instead of the old Tensorflow 1.0)