- Добавил: literator
- Дата: 14-03-2021, 19:27
- Комментариев: 0
Название: Neural Network Tutorials - Herong's Tutorial Examples
Автор: Herong Yang
Издательство: Independently published
Год: 2020 (Version 1.20)
Страниц: 193
Язык: английский
Формат: pdf, epub
Размер: 14.5 MB
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).
Автор: Herong Yang
Издательство: Independently published
Год: 2020 (Version 1.20)
Страниц: 193
Язык: английский
Формат: pdf, epub
Размер: 14.5 MB
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).