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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Mastering PyTorch :/ Ashish Ranjan Jha.
Reminder of title:	create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond /
remainder title:	Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
Author:	Jha, Ashish Ranjan.
Published:	Birmingham, UK :Packt Publishing Ltd., : c2024.,
Description:	xxi, 534 p. :ill. ; : 24 cm.;
Subject:	Neural networks (Computer science) -
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:

528588
Neural networks (Computer science)

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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100 1 $a Jha, Ashish Ranjan. $3 1386363
245 1 0 $a Mastering PyTorch : $b create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond / $c Ashish Ranjan Jha.
246 3 0 $a Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond
250 $a 2nd ed.
260 # $a Birmingham, UK : $b Packt Publishing Ltd., $c c2024.
300 $a xxi, 534 p. : $b ill. ; $c 24 cm.
490 1 $a Expert insight
504 $a Includes bibliographical references and index.
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.
650 # 0 $a Neural networks (Computer science) $3 528588
650 # 0 $a Python (Computer program language) $3 566246
650 # 0 $a Artificial intelligence. $3 559380
830 0 $a Expert insight. $3 1406965