About This Book

This section provides some detailed information about this book - Neural Network Tutorials - Herong's Tutorial Examples.

Title: Neural Network Tutorials - Herong's Tutorial Examples

Author: Dr. Herong Yang - Contact by email via herong_yang@yahoo.com.

Category: Programming

Version/Edition: 1.20, 2020

Number of pages in PDF format: 126

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 2020 (Version 1.20) with Deep Playground tutorials.

Keywords: Neural Network, Machine Learning, AI, Artificial Intelligence.

Copyright:

Revision history:

Web version: http://www.herongyang.com/Neural-Network - Provides free sample chapters, latest updates and readers' comments.

PDF/EPUB version: http://www.herongyang.com/Neural-Network/PDF-Full-Version.html - Provides information on how to obtain the full version of this book in PDF, EPUB, or other format.

Table of Contents

About This Book

 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)

 GNN (Graph Neural Network)

 References

 Full Version in PDF/EPUB