Description: Further DetailsTitle: PyTorch RecipesCondition: NewSubtitle: A Problem-Solution Approach to Build, Train and Deploy Neural Network ModelsEAN: 9781484289242ISBN: 9781484289242Edition: 2nd ed.Publisher: APressFormat: PaperbackRelease Date: 12/08/2022Description: Learn how to use PyTorch to build neural network models using code snippets updated for this second edition. This book includes new chapters covering topics such as distributed PyTorch modeling, deploying PyTorch models in production, and developments around PyTorch with updated code.You'll start by learning how to use tensors to develop and fine-tune neural network models and implement deep learning models such as LSTMs, and RNNs. Next, you'll explore probability distribution concepts using PyTorch, as well as supervised and unsupervised algorithms with PyTorch. This is followed by a deep dive on building models with convolutional neural networks, deep neural networks, and recurrent neural networks using PyTorch. This new edition covers also topics such as Scorch, a compatible module equivalent to the Scikit machine learning library, model quantization to reduce parameter size, and preparing a model for deployment within a production system. Distributed parallel processing for balancing PyTorch workloads, using PyTorch for image processing, audio analysis, and model interpretation are also covered in detail. Each chapter includes recipe code snippets to perform specific activities.By the end of this book, you will be able to confidently build neural network models using PyTorch.What You Will LearnUtilize new code snippets and models to train machine learning models using PyTorchTrain deep learning models with fewer and smarter implementationsExplore the PyTorch framework for model explainability and to bring transparency to model interpretationBuild, train, and deploy neural network models designed to scale with PyTorchUnderstand best practices for evaluating and fine-tuning models using PyTorchUse advanced torch features in training deep neural networksExplore various neural network models using PyTorchDiscover functions compatible with sci-kit learn compatible modelsPerform distributed PyTorch training and executionWho This Book Is ForMachine learning engineers, data scientists and Python programmers and software developers interested in learning the PyTorch framework.Language: EnglishCountry/Region of Manufacture: USItem Height: 254mmItem Length: 178mmAuthor: Pradeepta MishraGenre: Computing & InternetTopic: Business & FinanceRelease Year: 2022 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: PyTorch Recipes
Title: PyTorch Recipes
Subtitle: A Problem-Solution Approach to Build, Train and Deploy Neural Net
EAN: 9781484289242
ISBN: 9781484289242
Edition: 2nd ed.
Release Date: 12/08/2022
Release Year: 2022
Country/Region of Manufacture: US
Item Height: 254mm
Genre: Computing & Internet
Topic: Business & Finance
Number of Pages: Xxiv, 266 Pages
Language: English
Publication Name: Pytorch Recipes : a Problem-Solution Approach to Build, Train and Deploy Neural Network Models
Publisher: Apress L. P.
Subject: Probability & Statistics / General, General, Databases / General, Programming Languages / Python
Publication Year: 2022
Item Weight: 19.7 Oz
Type: Textbook
Item Length: 10 in
Author: Pradeepta Mishra
Subject Area: Mathematics, Computers
Item Width: 7 in
Format: Trade Paperback
