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RECETTES PYTORCH : UNE APPROCHE PROBLÈME-SOLUT
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- Achat immédiatRECETTES PYTORCH : UNE APPROCHE PROBLÈME-SOLUTION par Pradeepta Mishra
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Expédition :
Sans frais USPS Media MailTM.
Lieu : Alamogordo, New Mexico, États-Unis
Livraison :
Livraison prévue entre le jeu. 7 août et le lun. 11 août à 94104
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Numéro de l'objet eBay :226784262172
Caractéristiques de l'objet
- État
- Book Title
- PyTorch Recipes: A Problem-Solution Approach
- ISBN-10
- 1484242572
- ISBN
- 9781484242575
À propos de ce produit
Product Identifiers
Publisher
Apress L. P.
ISBN-10
1484242572
ISBN-13
9781484242575
eBay Product ID (ePID)
16038723574
Product Key Features
Number of Pages
Xx, 184 Pages
Publication Name
Pytorch Recipes : a Problem-Solution Approach
Language
English
Publication Year
2019
Subject
Industries / Computers & Information Technology, Neural Networks, Databases / General, Programming Languages / Python
Type
Textbook
Subject Area
Computers, Business & Economics
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
Number of Volumes
1 vol.
Illustrated
Yes
Table Of Content
Chapter 1: Introduction PyTorch, Tensors, Tensor Operations and Basics.- Chapter 2: Probability distributions using PyTorch.- Chapter 3: Convolutional Neural Network and RNN using PyTorch.- Chapter 4: Introduction to Neural Networks, Tensor Differentiation .- Chapter 5: Supervised Learning using PyTorch.- Chapter 6: Fine Tuning Deep Learning Algorithms using PyTorch.- Chapter 7: NLP and Text Processing using PyTorch.-
Synopsis
Adopts a problem-solution approach to PyTorch programming Includes Deep Q Learning Algorithms with PyTorch Covers Natural Language Processing and Text processing, Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure used to calculate arithmetic operations and also learn how they operate. You will then take a look at probability distributions using PyTorch and get acquainted with its concepts. Further you will dive into transformations and graph computations with PyTorch. Along the way you will take a look at common issues faced with neural network implementation and tensor differentiation, and get the best solutions for them. Moving on to algorithms; you will learn how PyTorch works with supervised and unsupervised algorithms. You will see how convolutional neural networks, deep neural networks, and recurrent neural networks work using PyTorch. In conclusion you will get acquainted with natural language processing and text processing using PyTorch. What You Will Learn Master tensor operations for dynamic graph-based calculations using PyTorch Create PyTorch transformations and graph computations for neural networks Carry out supervised and unsupervised learning using PyTorch Work with deep learning algorithms such as CNN and RNN Build LSTM models in PyTorch Use PyTorch for text processing Who This Book Is For Readers wanting to dive straight into programming PyTorch.
LC Classification Number
QA76.73.P98
Description de l'objet du vendeur
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- 4***3 (77)- Évaluation laissée par l'acheteur.Six derniers moisAchat vérifiéI made a mistake on the shipping address and tried to get the seller to change the delivery address. The seller told me that it would be better to cancel the item and then to re-order it. The seller then canceled the order and refunded my full purchase prince immediately. Refunded Order date: Mar 01, 2025 Order total: US $0.00 Order number: 13-12770-84681 I did not see the product on the page, so I ordered a similar product for a net 60 cents more (all in price), and that has not yet arrived.Mr. Coffee Replacement Glass Pot 4 - 5oz Cup Carafe Decanter With Lid (#226625061148)
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Évaluations comme vendeur (655)
- 4***3 (77)- Évaluation laissée par l'acheteur.Six derniers moisAchat vérifiéI made a mistake on the shipping address and tried to get the seller to change the delivery address. The seller told me that it would be better to cancel the item and then to re-order it. The seller then canceled the order and refunded my full purchase prince immediately. Refunded Order date: Mar 01, 2025 Order total: US $0.00 Order number: 13-12770-84681 I did not see the product on the page, so I ordered a similar product for a net 60 cents more (all in price), and that has not yet arrived.Mr. Coffee Replacement Glass Pot 4 - 5oz Cup Carafe Decanter With Lid (#226625061148)
- s***n- Évaluation laissée par l'acheteur.Dernier moisAchat vérifiéfast shipping, as described, packaged well, highly recommended seller
- y***o (3279)- Évaluation laissée par l'acheteur.Dernier moisAchat vérifiéQuick shipping, well package, the item was as described, and the good value. Everything was good.