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Language: en
Pages: 150
Pages: 150
Type: BOOK - Published: 2018-12-24 - Publisher: Packt Publishing Ltd
Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classif
Language: en
Pages: 518
Pages: 518
Type: BOOK - Published: 2020-07-01 - Publisher: Simon and Schuster
“We finally have the definitive treatise on PyTorch! It covers the basics and abstractions in great detail. I hope this book becomes your extended reference d
Language: en
Pages: 127
Pages: 127
Type: BOOK - Published: 2019-05-31 - Publisher: Packt Publishing Ltd
Build and train scalable neural network models on various platforms by leveraging the power of Caffe2 Key FeaturesMigrate models trained with other deep learnin
Language: en
Pages: 624
Pages: 624
Type: BOOK - Published: 2020-06-29 - Publisher: O'Reilly Media
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with
Language: en
Pages: 775
Pages: 775
Type: BOOK - Published: 2022-02-25 - Publisher: Packt Publishing Ltd
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to