Neural Network Tutorials - Herong's Tutorial Examples
Author | : Herong Yang |
Publisher | : HerongYang.com |
Total Pages | : 177 |
Release | : 2021-03-06 |
ISBN-10 | : |
ISBN-13 | : |
Rating | : 4/5 ( Downloads) |
Download or read book Neural Network Tutorials - Herong's Tutorial Examples written by Herong Yang and published by HerongYang.com. This book was released on 2021-03-06 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. For latest updates and free sample chapters, visit https://www.herongyang.com/Neural-Network.