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BIntroduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing./b h4Key Features/h4 ulliClear and concise explanations /li liGives important insights into deep learning models /li liPractical demonstration of key concepts /li /ul h4Book Description/h4 PyTorch is extremely powerful and yet easy to learn. It provides advanced features, such as supporting multiprocessor, distributed, and parallel computation. This book is an excellent entry point for those wanting to explore deep learning with PyTorch to harness its power. This book will introduce you to the PyTorch deep learning library and teach you how to train deep learning models without any hassle. We will set up the deep learning environment using PyTorch, and then train and deploy different types of deep learning models, such as CNN, RNN, and autoencoders. You will learn how to optimize models by tuning hyperparameters and how to use PyTorch in multiprocessor and distributed environments. We will discuss long short-term memory network (LSTMs) and build a language model to

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Author

Julian, David

Publisher

Packt Publishing - ebooks Account

Published

2018

Language

EN

ISBN

9781789131680

Category

nonfiction

Subjects

Science, Computer Science, Stem

Updated

2026-03-24