Book

PyTorch recipes : a problem-solution approach

Mishra, Pradeepta, author

Overview

\"Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations and graph computations with PyTorch. Along the way you will take a look at common issues faced with neural network implementation and tensor differentation, and get the best solutions for them. Moving on to algorithms; you will learn how PyTorch works with supervised and unsupervised algorithms. You will see how convolutional neural networks, deep neural networks, and recurrent neural networks work using PyTorch. In conclusion you will get acquainted with natural language processing and text processing using PyTorch.\"--Provided by publisher

• Publisher: Apress
• Subject: Neural networks (Computer science) / Machine learning. / Python (Computer program language) / Datenanalyse. / Massendaten. / Python.
• ISBN: 1484242572, 9781484242575

Item info:

1 item available

1 item total in all locations

Holdings :

Call Number	Copies	Material	Location
QA76.87.M555 2019	1	BOOK	AUTOSTORE