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Show Notes
Mastering PyTorch (Ashish Ranjan Jha)
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- Amazon Worldwide Store: https://global.buys.trade/Mastering-PyTorch-Ashish-Ranjan-Jha.html
- Apple Books: https://books.apple.com/us/audiobook/pytorch-building-ai-models-with-ease-and-flexibility/id1800668402?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
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- Read more: https://english.9natree.com/read/B0BJ62TKC6/
#Convolutionalneuralnetworks #HuggingFacetransformers #Diffusionmodels #Mixedprecisiontraining #CaptumexplainableAI #MasteringPyTorch
Mastering PyTorch is a technical guide to advanced deep learning development with PyTorch 2.x. Written by machine learning engineer Ashish Ranjan Jha and published by Packt as a second edition in 2024, it is aimed at readers who already understand Python and the fundamentals of deep learning. Its purpose is not merely to introduce tensor operations or basic neural-network training. Instead, it follows the broader lifecycle of modern AI work: choosing an architecture, training it efficiently, applying it across modalities, interpreting its behavior, and moving it toward deployment. The coverage spans computer vision, natural language processing, generative modeling, reinforcement learning, graph learning, recommender systems, and transformer-based language and vision models. It also situates core PyTorch within a practical ecosystem that includes fastai, PyTorch Lightning, Hugging Face, Captum, and deployment tools. The result is a wide-ranging practitioner reference for building increasingly sophisticated models while keeping engineering concerns such as scaling, inference, and mobile delivery in view.
- Amazon USA Store: https://www.amazon.com/dp/B0BJ62TKC6?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/Mastering-PyTorch-Ashish-Ranjan-Jha.html
- Apple Books: https://books.apple.com/us/audiobook/pytorch-building-ai-models-with-ease-and-flexibility/id1800668402?itsct=books_box_link&itscg=30200&ls=1&at=1001l3bAw&ct=9natree
- eBay: https://www.ebay.com/sch/i.html?_nkw=Mastering+PyTorch+Ashish+Ranjan+Jha+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/B0BJ62TKC6/
#Convolutionalneuralnetworks #HuggingFacetransformers #Diffusionmodels #Mixedprecisiontraining #CaptumexplainableAI #MasteringPyTorch
Mastering PyTorch is a technical guide to advanced deep learning development with PyTorch 2.x. Written by machine learning engineer Ashish Ranjan Jha and published by Packt as a second edition in 2024, it is aimed at readers who already understand Python and the fundamentals of deep learning. Its purpose is not merely to introduce tensor operations or basic neural-network training. Instead, it follows the broader lifecycle of modern AI work: choosing an architecture, training it efficiently, applying it across modalities, interpreting its behavior, and moving it toward deployment. The coverage spans computer vision, natural language processing, generative modeling, reinforcement learning, graph learning, recommender systems, and transformer-based language and vision models. It also situates core PyTorch within a practical ecosystem that includes fastai, PyTorch Lightning, Hugging Face, Captum, and deployment tools. The result is a wide-ranging practitioner reference for building increasingly sophisticated models while keeping engineering concerns such as scaling, inference, and mobile delivery in view.
