Neural Network Tutorials - Herong's Tutorial Examples - v1.22, by Herong Yang
About This Book
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Title: Neural Network Tutorials - Herong's Tutorial Examples
Author: Herong Yang - Contact by email via herong_yang@yahoo.com.
Category: Programming
Version/Edition: v1.22, 2023
Number of pages in PDF format: 177
Description: 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 2023 (Version v1.22) with minor updates.
Keywords: Neural Network, Machine Learning, AI, Artificial Intelligence.
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Revision history:
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Table of Contents
Deep Playground for Classical Neural Networks
Building Neural Networks with Python
Simple Example of Neural Networks
TensorFlow - Machine Learning Platform
PyTorch - Machine Learning Platform
CNN (Convolutional Neural Network)
RNN (Recurrent Neural Network)
GAN (Generative Adversarial Network)