Neural Network Tutorials - Herong's Tutorial Examples - 1.20, by Dr. Herong Yang
Neural Network Tutorials - Herong's Tutorial Examples
© 2020 Dr. Herong Yang. All rights reserved.
This book is a collection of notes and sample codes written by the author while he was learning Neural Networks in Machine Learning. Topics include Neural Networks (NN) concepts: nodes, layers, activation functions, learning rates, training sets, etc.; deep playground for classical neural networks; building neural networks with Python; walking through Tariq Rashi's 'Make Your Own Neural Network' source code; using 'TensorFlow' and 'PyTorch' machine learning platforms; understanding CNN (Convolutional Neural Network), RNN (Recurrent Neural Network), GNN (Graph Neural Network). Updated in 2020 (Version 1.20) with Deep Playground tutorials.
Table of Contents
Keywords: Neural Network, Machine Learning, Artificial Intelligence