tiaradwiputri / nndl-extension

Trainer guide for Neural Network Deep Learning course

Neural Network and Deep Learning - Trainer Guide Extended Version

This course is a complementary material for Algoritma Academy, intended as trainer's guide. The content will referring to the original Algoritma's course authored by Samuel Chan. This material, however extend the original material by focusing on widely-used deep learning hyperparameters. This material will cover:

• Neurons and Activation Functions
• Back Propagation and Chain Rule
• Momentum and Learning Rate
• RMSprop and Adam Optimizer

Next on to-do list:

• Momentum
• RMSprop
• Adam
• Hyper parameter tuning