Neural Network Tutorials - Herong's Tutorial Examples - 1.20, by Dr. Herong Yang
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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 firstname.lastname@example.org.
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.
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.
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