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Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features by Ashish Ranjan Jha

• Mastering PyTorch - Second Edition: Build powerful deep learning architectures using advanced PyTorch features
• Ashish Ranjan Jha
• Page: 538
• Format: pdf, ePub, mobi, fb2
• ISBN: 9781801074308
• Publisher: Packt Publishing

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Mastering PyTorch: Build powerful neural network Deep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book  Modern Computer Vision with PyTorch, published by Packt Deep learning is the driving force behind many recent advances in various computer vision (CV) applications. This book takes a hands-on approach to help you to  Books By Ashish Ranjan Jha Books By Ashish Ranjan Jha · Mastering PyTorch: Build powerful deep learning architectures using advanced PyTorch features, 2nd Edition · Mastering PyTorch: Build  Expert Systems Mastering PyTorch: Build powerful deep learning architectures using advanced PyTorch features, 2nd Edition. 1 offer from $35.99. 20 Best-Selling Deep Neural Networks eBooks of All Time Well, hold on there Before you embark on your epic journey into the world of deep learning, there is basic theory to march through first! Take a step-by-step  PyTorch Deep Learning Hands-On: Build CNNs, RNNs PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with Pytorch. It is not an academic textbook and  Ashish Ranjan - Computer Science / Textbooks: Kindle Store Mastering PyTorch: Build powerful deep learning architectures using advanced PyTorch features, 2nd Edition This item will be released on September 11, 2023. Mastering PyTorch: Build powerful deep learning Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples. Key Features. Understand how to use PyTorch to build  Summary | Mastering PyTorch - Second Edition In this chapter, we applied the concept of generative machine learning to images by generating an image that contains the content of one image and the style 

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