[2020] Deep Learning / Coursera
- W2 Logistic Regression with a Neural Network mindset
- W3 Planar data classification with one hidden layer
- W4 Building your Deep Neural Network: Step by Step
- W5 Deep Neural Network for Image Classification: Application
- W1 L1 Initialization
- W1 L2 Regularization
- W1 L3 Gradient Checking - TODO
- W2 L1 Optimization Methods - Mini-Batch GD
- W2 L2 Optimization Methods - Momentum, Adam
- W2 L3 Optimization Methods - Mini-Batch GD vs Momentum vs Adam
- W3 L1 Tensorflow
- W1 L1 Convolutional Neural Networks
- W2 L1 Convolution Model Application
- W3 L1 Keras
- W3 L2 Residual Networks
- W3 L3 Yolo
- W4 L1 Neural Style Transfer