PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Key benefits

Internals and principles of PyTorch

Implement key deep learning methods in PyTorch: CNNs, GANs, RNNs, reinforcement learning, and more

Build deep learning workflows and take deep learning models from prototyping to production

Description

PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with PyTorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly. PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools. Each chapter focuses on a different area of deep learning. Chapters start with a refresher on how the model works, before sharing the code you need to implement it in PyTorch. This book is ideal if you want to rapidly add PyTorch to your deep learning toolset.

What you will learn

Use PyTorch to build:

Simple Neural Networks – build neural networks the PyTorch way, with high-level functions, optimizers, and more

Convolutional Neural Networks – create advanced computer vision systems

Recurrent Neural Networks – work with sequential data such as natural language and audio

Generative Adversarial Networks – create new content with models including SimpleGAN and CycleGAN

Reinforcement Learning – develop systems that can solve complex problems such as driving or game playing

Deep Learning workflows – move effectively from ideation to production with proper deep learning workflow using PyTorch and its utility packages

Production-ready models – package your models for high-performance production environments

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

€32.99

€32.99

€36.99

Total € 102.97

FAQs

What is the digital copy I get with my Print order?

When you buy any Print edition of our Books, you can redeem (for free) the eBook edition of the Print Book you’ve purchased. This gives you instant access to your book when you make an order via PDF, EPUB or our online Reader experience.

What is the delivery time and cost of print book?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

What is custom duty/charge?

Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

Do I have to pay customs charges for the print book order?

The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

How do I know my custom duty charges?

The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.

How can I cancel my order?

Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

What is your returns and refunds policy?

Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

What tax is charged?

Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

What payment methods can I use?

You can pay with the following card types:

Visa Debit
Visa Credit
MasterCard
PayPal

What is the delivery time and cost of print books?

Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Unfortunately, due to several restrictions, we are unable to ship to the following countries:

Afghanistan
American Samoa
Belarus
Brunei Darussalam
Central African Republic
The Democratic Republic of Congo
Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

Filter reviews by

All

Amazon verified reviews

JB.Malone Jun 18, 2019

This is a good book if you want a quick dive into PyTorch and build some basic ML projects. It covers a lot of topics fast so don't expect a deep book or lots of theory, what you get is some really useful PyTorch coding templates for CNNs, RNNs, GANs, so you can create these with PyTorch. I'm now getting up and running in PyTorch, and PyTorch rocks. I recommend PyTorch if you know ML but haven't tried it yet.

Amazon Verified review

Stephan Miller May 08, 2019

This is one of the books I wish I had when I got started in machine learning. Of course, I wish the current version of PyTorch was around then too. It will definitely get you started correctly if you're a beginner, will be a great refresher if you are an expert and will widen your knowledge of machine learning techniques if your knowledge only includes a few of the modern methods of extracting answers from data.This book will walk you through setting up your development environment right before you jump right into building a simple neural network. But neural networks is not all this book covers. You will learn how to create a convolutional neural network, the secret behind computer vision. You will also dive into recurrent neural networks and use long short-term memory and gated recurrent units. You will also study generative networks and learn about autoregressive models. Then you will use OpenAI's Gym library to explore Markov decision processes, the Bellman equation and deep Q-learning. Each of these technologies are taught with hands-on step-by-step tutorials.But that is not all. Along the way you will learn how to set up a pipeline to make developing and deploying your machine learning system much simpler and hassle free. And you will learn how to deploy your deep learning system to production using Flask and RedisAI.I would recommend this book to anyone interested in learning AI and machine learning. It will get you started quick and provides a broad overview of features of PyTorch and how you can use it for your own projects.

Akshit Shah May 06, 2019

I am a Deep Learning Practioner, I have been primarily working with TensorFlow, I was thinking to migrate to Pytorch and explore the possibilities of the framework, This book helped me a lot in easy migration. It has all the building blocks required to learn Pytorch. Its advancing difficulty makes readers stick to the book. I especially loved the explanation of GANs. It is probably by far most up to date information provided.Thank You, Authors and Packt publishing for the amazing book.Cheers!

Jessica Apr 29, 2019

This book is very enjoyable to read. The content covers the several main streams of the current deep learning research: NLP, GAN, DRL, etc, and presents step-by-step tutorials on implementing the popular approaches within each field, e.g. CycleGAN, DQN, WaveNet, etc. As a deep learning researcher working primarily with pytorch, I find that this book can work as a good refresher for the fields that I already have experience with, and as a gentle introduction to areas that I am less familiar with while presenting the right amount of implementation details. A well-structured and well-presented guide to deep learning research with pytorch!

Colin Hagemeyer Jun 04, 2019

On the positive, the book walks you step-by-step through the various functions of PyTorch. However, there are a number of issues (in order of importance):1) The authors often use deprecated commands, and so you have to regularly check online if the way they are doing it is how it is currently done. Since this book was published 2 months ago, there's really no excuse.2) Sometimes they'll mention a command in a small paragraph, but fail to provide syntax, an example, or any clear explanation of what it does. In these cases you once again need to go online and figure out what the command does3) The writing is full of over-the-top cliched language like "turned the whole AI community upside down" or "be ready to be blown away". I find myself rolling my eyes almost constantly while reading this book. In addition, there are some awkward sentences, so the book probably needed another pass by the proof-readerMy conclusion is that the book needs more work. It's helpful to get some guidance rather than trying to start directly from online tutorials, but it's probably not worth the quite high price tag. It's also quite interesting how all the 5 star reviews are from unverified purchases, and one of them appears to have been posted a day before the book was published. I wonder why that would be.

PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily

What do you get with Print?