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Mastering PyTorch : = create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Mastering PyTorch :/ Ashish Ranjan Jha.
其他題名:	create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond /
其他題名:	Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
作者:	Jha, Ashish Ranjan.
出版者:	Birmingham, UK :Packt Publishing Ltd., : c2024.,
面頁冊數:	xxi, 534 p. :ill. ; : 24 cm.;
標題:	Artificial intelligence. -
ISBN:	9781801074308 (pbk.) :

Mastering PyTorch : = create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond /
Jha, Ashish Ranjan.

Mastering PyTorch :create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond /Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyondAshish Ranjan Jha. - 2nd ed. - Birmingham, UK :Packt Publishing Ltd.,c2024. - xxi, 534 p. :ill. ;24 cm. - Expert insight. - Expert insight..

Includes bibliographical references and index.

PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.

ISBN: 9781801074308 (pbk.) :NT1694Subjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: QA76.87

Dewey Class. No.: 006.3/2 / J59

Mastering PyTorch : = create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond /
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490 1 $a Expert insight
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520 # $a PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch deep learning book will help you uncover expert techniques to get the most out of your data and build complex neural network models. You’ll build convolutional neural networks for image classification and recurrent neural networks and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation, using generative models, including diffusion models. You'll not only build and train your own deep reinforcement learning models in PyTorch but also learn to optimize model training using multiple CPUs, GPUs, and mixed-precision training. You’ll deploy PyTorch models to production, including mobile devices. Finally, you’ll discover the PyTorch ecosystem and its rich set of libraries. These libraries will add another set of tools to your deep learning toolbelt, teaching you how to use fastai to prototype models and PyTorch Lightning to train models. You’ll discover libraries for AutoML and explainable AI (XAI), create recommendation systems, and build language and vision transformers with Hugging Face. By the end of this book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.
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650 # 0 $a Python (Computer program language) $3 566246
650 # 0 $a Neural networks (Computer science) $3 528588
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