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![PyTorch Recipes: A Problem-Solution Approach to Build, Train and Deploy Neural Network Models, 2nd Edition](/uploads/posts/2022-12/1670567622_101_pytorch_r_cip_s_2_d.jpg)
Автор: Pradeepta Mishra
Издательство: Apress
Год: 2023
Страниц: 282
Язык: английский
Формат: pdf (true), epub (true)
Размер: 18.2 MB
Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code. You'll start by learning how to use tensors to develop and fine-tune neural network models and implement deep learning models such as LSTMs, and RNNs. Next, you'll explore probability distribution concepts using PyTorch, as well as supervised and unsupervised algorithms with PyTorch. This is followed by a deep dive on building models with convolutional neural networks, deep neural networks, and recurrent neural networks using PyTorch.