PyTorch Cookbook: 100+ Solutions across RNNs, CNNs, python tools, distributed training and graph networks
Language: English
Published by GitforGits, 2023
- Softcover
- Used
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
AbeBooks seller since April 6, 2009
Condition: Used - As new
£ 42.01
Quantity: Over 20 available
Add to basketItem description from seller
Seller Inventory # 46940664
- Title
- PyTorch Cookbook: 100+ Solutions across RNNs, CNNs, python tools, distributed training and graph networks
- Author
- Rosch, Matthew
- Publisher
- GitforGits
- Publication year
- 2023
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 8119177967
- ISBN 13
- 9788119177967
Starting a PyTorch Developer and Deep Learning Engineer career? Check out this 'PyTorch Cookbook,' a comprehensive guide with essential recipes and solutions for PyTorch and the ecosystem. The book covers PyTorch deep learning development from beginner to expert in well-written chapters.
The book simplifies neural networks, training, optimization, and deployment strategies chapter by chapter. The first part covers PyTorch basics, data preprocessing, tokenization, and vocabulary. Next, it builds CNN, RNN, Attentional Layers, and Graph Neural Networks. The book emphasizes distributed training, scalability, and multi-GPU training for real-world scenarios. Practical embedded systems, mobile development, and model compression solutions illuminate on-device AI applications. However, the book goes beyond code and algorithms. It also offers hands-on troubleshooting and debugging for end-to-end deep learning development. 'PyTorch Cookbook' covers data collection to deployment errors and provides detailed solutions to overcome them.
This book integrates PyTorch with ONNX Runtime, PySyft, Pyro, Deep Graph Library (DGL), Fastai, and Ignite, showing you how to use them for your projects. This book covers real-time inferencing, cluster training, model serving, and cross-platform compatibility. You'll learn to code deep learning architectures, work with neural networks, and manage deep learning development stages. 'PyTorch Cookbook' is a complete manual that will help you become a confident PyTorch developer and a smart Deep Learning engineer. Its clear examples and practical advice make it a must-read for anyone looking to use PyTorch and advance in deep learning.
Key Learnings
- Comprehensive introduction to PyTorch, equipping readers with foundational skills for deep learning.
- Practical demonstrations of various neural networks, enhancing understanding through hands-on practice.
- Exploration of Graph Neural Networks (GNN), opening doors to cutting-edge research fields.
- In-depth insight into PyTorch tools and libraries, expanding capabilities beyond core functions.
- Step-by-step guidance on distributed training, enabling scalable deep learning and AI projects.
- Real-world application insights, bridging the gap between theoretical knowledge and practical execution.
- Focus on mobile and embedded development with PyTorch, leading to on-device AI.
- Emphasis on error handling and troubleshooting, preparing readers for real-world challenges.
- Advanced topics like real-time inferencing and model compression, providing future ready skill.
Table of Content
- Introduction to PyTorch 2.0
- Deep Learning Building Blocks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Natural Language Processing
- Graph Neural Networks (GNNs)
- Working with Popular PyTorch Tools
- Distributed Training and Scalability
- Mobile and Embedded Development
"Synopsis" may belong to another edition of this title.
GreatBookPrices
Columbia, MD, U.S.A.
AbeBooks seller since April 6, 2009
Shipping rates within U.S.A.
| Item | 5 to 14 business days | 8 to 14 business days |
|---|---|---|
| First item | £ 1.95 | £ 1.95 |
Payment methods
Store description
Seller's business information
Expert Trading Limited
9220 Rumsey Road, Suite 101
Columbia, MD U.S.A. 21045
Terms of sale
Company Name: GreatBookPrices
Legal Entity: Expert Trading, LLC
Address: 6310 Stevens Forest, suite 200, Columbia MD 21046
Email address: CustomerService@SuperBookDeals.com
Phone number: 410-964-0026
consumer complaints can be addressed to address above
Registration #: 52-1713923
Authorized representative: Danielle Hainsey
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to GreatBookPrices, Bensenville, Illinois, U.S.A., without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Our warehouses across the globe are fully operational without substantial delays. We are working hard and continue to overcome the daily challenges presented by COVID-19. We appreciate your understanding.
Internal processing of your order will take about 1-2 business days. Please allow an additional 4-14 business days for Media Mail delivery. We have multiple ship-from locations - MD,IL,NJ,UK,IN,NV,TN & GA