Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features. Ashish Ranjan Jha
Mastering-PyTorch-Second.pdf
ISBN: 9781801074308 | 538 pages | 14 Mb
- Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features
- Ashish Ranjan Jha
- Page: 538
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781801074308
- Publisher: Packt Publishing
Download books as pdfs Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features by Ashish Ranjan Jha (English Edition) RTF MOBI
20 Best Neural Networks eBooks of All Time The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up Mastering PyTorch: Build powerful neural network Key Features · Understand how to use PyTorch 1.x to build advanced neural network models · Learn to perform a wide range of tasks by implementing deep learning PyTorch Pocket Reference: Building and Deploying Deep Book details · Learn basic PyTorch syntax and design patterns · Create custom models and data transforms · Train and deploy models using a GPU and TPU · Train and Best Machine Theory Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch. Expert Systems Mastering PyTorch: Build powerful deep learning architectures using advanced PyTorch features, 2nd Edition. 1 offer from $35.99. Ashish Ranjan Jha: Books Mastering PyTorch: Build powerful deep learning architectures using advanced PyTorch features, 2nd Edition This title will be released on September 11, 2023. A refresher on deep learning | Mastering PyTorch A deep learning model can be built based on various types of neural network architectures that have been developed over the years. A prime distinguishing factor
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