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Mastering PyTorch: Create and - Paperback, by Ashish Ranjan Jha - Very Good
US $58.35
ApproximatelyC $80.28
Condition:
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections.
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Located in: Philadelphia, Pennsylvania, United States
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Estimated between Thu, Aug 14 and Tue, Aug 19 to 94104
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eBay item number:127211031943
Item specifics
- Condition
- Book Title
- Mastering PyTorch: Create and deploy deep learning models from CN
- ISBN
- 9781801074308
About this product
Product Identifiers
Publisher
Packt Publishing, The Limited
ISBN-10
1801074305
ISBN-13
9781801074308
eBay Product ID (ePID)
15080427963
Product Key Features
Number of Pages
538 Pages
Publication Name
Mastering Pytorch : Build Powerful Deep Learning Architectures Using Advanced Pytorch Features
Language
English
Publication Year
2024
Subject
Expert Systems, Computer Simulation, Neural Networks, General
Type
Textbook
Subject Area
Mathematics, Computers
Format
Trade Paperback
Dimensions
Item Length
92.5 in
Item Width
75 in
Additional Product Features
Intended Audience
Trade
Dewey Edition
23
Dewey Decimal
006.32
Synopsis
Master advanced techniques and algorithms for machine learning with PyTorch using real-world examplesUpdated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networksPurchase of the print or Kindle book includes a free eBook in PDF format Key Features Understand how to use PyTorch to build advanced neural network models Get the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and Docker Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book Description 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. What you will learn Implement text, vision, and music generation models using PyTorch Build a deep Q-network (DQN) model in PyTorch Deploy PyTorch models on mobile devices (Android and iOS) Become well versed in rapid prototyping using PyTorch with fastai Perform neural architecture search effectively using AutoML Easily interpret machine learning models using Captum Design ResNets, LSTMs, and graph neural networks (GNNs) Create language and vision transformer models using Hugging Face Who this book is for This deep learning with PyTorch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is ideal for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python is required. ]]>, Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the print or Kindle book includes a free eBook in PDF format Key Features: - Understand how to use PyTorch to build advanced neural network models - Get the best from PyTorch by working with Hugging Face, fastai, PyTorch Lightning, PyTorch Geometric, Flask, and Docker - Unlock faster training with multiple GPUs and optimize model deployment using efficient inference frameworks Book Description: 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 from 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 for prototyping models to training models using PyTorch Lightning. 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. What You Will Learn: - Implement text, vision, and music generating models using PyTorch - Build a deep Q-network (DQN) model in PyTorch - Deploy PyTorch models on mobile devices (Android and iOS) - Become well-versed with rapid prototyping using PyTorch with fast.ai - Perform neural architecture search effectively using AutoML - Easily interpret machine learning models using Captum - Design ResNets, LSTMs, and graph neural networks (GNNs) - Create language and vision transformer models using Hugging Face Who this book is for: This deep learning with PyTorch book is for data scientists, machine learning engineers, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning models using PyTorch. This book is ideal for those looking to switch from TensorFlow to PyTorch. Working knowledge of deep learning with Python is required.
LC Classification Number
QA76.87
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- c***m (423)- Feedback left by buyer.Past 6 monthsVerified purchaseWOW!; I cannot believe this 4 Days to Hawaii! ; AAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii!; Shipped 04/19, Sat, Received 04/24 Thur to Hawaii using free shipping; USPS Ground Mail, Paperback Book in Good Condition--Better Than Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!The Great Crash, 1929 - Paperback, by J K Galbraith - Acceptable (#125958575357)
- f***f (1599)- Feedback left by buyer.Past monthVerified purchaseExcellent Seller, Goes the Extra Mile. The Seller Was Incredibly Communicative. Smooth Transaction, Shipped Very Quickly, As Advertised; Good Price; Well Packaged & Delivered Within a Few Days. Item in Described Promised Condition, Thank You Very Much!!!!!!!!!!! A+
- i***9 (8)- Feedback left by buyer.Past monthVerified purchaseI appreciate the deal I was able to get on both books I ordered. They came as pictured and described in the listing and look good! My only complaint is the packaging could be better, I got two paperback books that were not shipped in a box but rather and envelope and one of the covers arrived bent. So I would recommend the seller use bubblewrap or a box to ship future orders.
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Seller feedback (176,899)
- c***m (423)- Feedback left by buyer.Past 6 monthsVerified purchaseWOW!; I cannot believe this 4 Days to Hawaii! ; AAA+++; Excellent Service; Great Pricing; Fast Delivery-Faster Than Expected to Hawaii!; Shipped 04/19, Sat, Received 04/24 Thur to Hawaii using free shipping; USPS Ground Mail, Paperback Book in Good Condition--Better Than Described ; TLC Packaging; Excellent Seller Communication, Sends updates . Highly Recommended!, Thank you very much!The Great Crash, 1929 - Paperback, by J K Galbraith - Acceptable (#125958575357)
- f***f (1599)- Feedback left by buyer.Past monthVerified purchaseExcellent Seller, Goes the Extra Mile. The Seller Was Incredibly Communicative. Smooth Transaction, Shipped Very Quickly, As Advertised; Good Price; Well Packaged & Delivered Within a Few Days. Item in Described Promised Condition, Thank You Very Much!!!!!!!!!!! A+
- i***9 (8)- Feedback left by buyer.Past monthVerified purchaseI appreciate the deal I was able to get on both books I ordered. They came as pictured and described in the listing and look good! My only complaint is the packaging could be better, I got two paperback books that were not shipped in a box but rather and envelope and one of the covers arrived bent. So I would recommend the seller use bubblewrap or a box to ship future orders.