Deep Learning with PyTorch 2024 pdf epub mobi 电子书

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Deep Learning with PyTorch 2024 pdf epub mobi 电子书著者简介

About the Author

Vishnu SubramanianVishnu Subramanian has an experience in leading, architecting and implementing several Big Data analytical projects (AI, ML and Deep Learning). Specialized in Machine learning, Deep Learning, Distributed ML, and Visualization. Also, he has experience in domains like Retail, Finance, and Travel and has specialized in understanding and coordinating between Business, AI (Machine Learning, Deep learning) and Engineering teams.

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发表于2024-11-18

Deep Learning with PyTorch 2024 pdf epub mobi 电子书

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出版者:Packt Publishing

作者:Vishnu Subramanian

出品人:

页数:262

译者:

出版时间:2018-2-23

价格:USD 39.99

装帧:Paperback

isbn号码:9781788624336

丛书系列:

图书标签: pytorch 深度学习计算机机器学习计算机科学

Deep Learning with PyTorch 2024 pdf epub mobi 电子书图书描述

Key Features

Learn PyTorch for implementing cutting-edge deep learning algorithms.Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios;Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples;

Book Description

Deep learning powers the most intelligent systems in the world, such as Google Voice, Siri, and Alexa. Advancements in powerful hardware, such as GPUs, software frameworks such as PyTorch, Keras, Tensorflow, and CNTK along with the availability of big data have made it easier to implement solutions to problems in the areas of text, vision, and advanced analytics.

This book will get you up and running with one of the most cutting-edge deep learning libraries―PyTorch. PyTorch is grabbing the attention of deep learning researchers and data science professionals due to its accessibility, efficiency and being more native to Python way of development. You'll start off by installing PyTorch, then quickly move on to learn various fundamental blocks that power modern deep learning. You will also learn how to use CNN, RNN, LSTM and other networks to solve real-world problems. This book explains the concepts of various state-of-the-art deep learning architectures, such as ResNet, DenseNet, Inception, and Seq2Seq, without diving deep into the math behind them. You will also learn about GPU computing during the course of the book. You will see how to train a model with PyTorch and dive into complex neural networks such as generative networks for producing text and images.

By the end of the book, you'll be able to implement deep learning applications in PyTorch

Deep Learning with PyTorch 2024 pdf epub mobi 电子书

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Deep Learning with PyTorch 2024 pdf epub mobi 用户评价

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Jeff Dean retweeted a twitter today, mentioned about ‘eager execution’, which is an imperative programming environment that evaluates operations immediately, without building graphs, and some one comment he is the only ‘old’ guy who stick at TensorFlow in his lab, the other’s all move to PyTorch, That’s why I pick up this book

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This book is quite shallow for research purpose, yet quite helpful for novices in deep learning. Pros: step-by-step explanation; beneficial for engineers. Cons: not much inspiration for research purpose. Minor mistakes in codes in GitHub.

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Deep Learning with PyTorch 2024 pdf epub mobi 电子书