|PyTorch Recipes (Apress)|
|Friday, 08 February 2019|
This book starts with an introduction to PyTorch and tensors, the data structure used to calculate arithmetic operations. Author Pradeepta Mishra then looks at probability distributions using PyTorch, and dives into transformations and graph computations. Along the way the book covers common issues faced with neural network implementation and tensor differentiation. Moving on to algorithms it shows how PyTorch works with supervised and unsupervised algorithms, as well as how convolutional neural networks, deep neural networks, and recurrent neural networks work using it. The book concludes with natural language processing and text processing using PyTorch.
Author: Pradeepta Mishra
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