TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Palanisamy

€36.99

4 (6 Ratings)

Paperback Jan 2021 472 pages 1st Edition

Palanisamy

€36.99

4 (6 Ratings)

Paperback Jan 2021 472 pages 1st Edition

What do you get with Print?

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

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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

View table of contents

Preview Book

Download Code

Key benefits

Develop and deploy deep reinforcement learning-based solutions to production pipelines, products, and services
Explore popular reinforcement learning algorithms such as Q-learning, SARSA, and the actor-critic method
Customize and build RL-based applications for performing real-world tasks

Description

With deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications. Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you’ll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x. By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch.

Who is this book for?

The book is for machine learning application developers, AI and applied AI researchers, data scientists, deep learning practitioners, and students with a basic understanding of reinforcement learning concepts who want to build, train, and deploy their own reinforcement learning systems from scratch using TensorFlow 2.x.

What you will learn

Build deep reinforcement learning agents from scratch using the all-new TensorFlow 2.x and Keras API
Implement state-of-the-art deep reinforcement learning algorithms using minimal code
Build, train, and package deep RL agents for cryptocurrency and stock trading
Deploy RL agents to the cloud and edge to test them by creating desktop, web, and mobile apps and cloud services
Speed up agent development using distributed DNN model training
Explore distributed deep RL architectures and discover opportunities in AIaaS (AI as a Service)

Estimated delivery fee Deliver to Ireland

Premium delivery 7 - 10 business days

€23.95

(Includes tracking information)

What do you get with Print?

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

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

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

Mastering Reinforcement Learning with Python

€37.99

€32.99

€36.99

Total € 107.97 Stars icon

FAQs

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

Xudong@SF Jun 14, 2021

It is a very nice book for people who want to gain hands-on experience in reinforcement learning. The book starts with an introduction to the OpenAI gym environment very early on, so that readers can visualize any reinforcement learning system very easily.The book presents a very concise introduction to the basic reinforcement learning algorithms (value-based, policy-based, actor-critic) and advanced ones (DQN, PPO, DDPG, etc). Many examples of real-world reinforcement learning projects are also provided. The last part of the book talks about deploying reinforcement learning to different platforms, which are very useful for real-world practitioners.

Amazon Verified review

Andrzej Jankowski Jun 07, 2021

I have received a copy of the book from Packt Publishing and have been asked to provide a review. Opinions below are my own."TensorFlow 2 Reinforcement Learning Cookbook" is a book you will reference to solve a specific problem, is not really supposed to be read. I see it as a kind of structured stack overflow focusing on covering specific topic.You can treat the book recipes as answers to a specific question (eg. How to implement Deep Q-Learning algorithm). They dive right into the code. It doesn't mean the author forgets about explanations - "How it works" section in every chapter is clearly written and thorough enough for you to understand the topic.The strength of the book is it's breadth. It covers all reinforcement learning algorithm, but also their usage for various real life tasks (cryptocurrency or stock trading, booking flights for yourself etc.)The author doesn't stop with simplest implementations. Trading example gives the agent opportunity to trade based on visual data. The agent observes the stock market data in the form of candlestick price charts.The biggest value of "TensorFlow 2 Reinforcement Learning Cookbook" are the parts covering distributed training and deployment. All other parts of the book are easy to find somewhere else, but these two topics are rarely covered. I believe it is worth reading the book for those 2 parts are alone.Distributed training starts with using Tensorflow API for multi GPU set up and goes up to cluster of servers using Ray framework (popular library coming from Berkeley RISE Lab). This selection of topics gives you solid understanding of how to speed up training by distributing it.Deployment scenarios get extra attention in 2 chapters (which is a good thing). It includes deployment to cloud, mobile (Tensorflow Lite) , browser (Tensorflow.js) and various HW set up (using ONNX runtime or Nvidia Triton).You probably have guessed by now - it is not a beginner book. I recommend it for more advanced data scientists interested in quick answers to their reinforcement learning algorithms questions, or looking for easy guide to deployment scenarios.

Adwait Ullal Apr 22, 2021

The book, TensorFlow 2 Reinforcement Learning Cookbook, contains a host of cradle-to-grave recipes i.e. from getting started with Reinforcement Learning to deployment. The book is for someone who is familiar with TensorFlow and wants to get hands-on with Reinforcement Learning.The book is full of code, as the title suggests and includes recipes basic as well advanced algorithms and for theoretical as well as real-world use-cases. The code is mostly in Python and is also available on Github.I would have liked to see some basic explanation on Reinforcement Learning, instead of diving head-on into code, etc. At least, external references or other Packt books related to TensorFlow and/or Reinforcement Learning could have been suggested.Overall, it is a very focused book for getting to understand Reinforcement Learning in TensorFlow.

Og J. Ramos Mar 26, 2021

If you're just starting and want to learn, I would definitely suggest looking at other Packt Tensorflow 2 books first. This is not a how-to book nor a book where you'll learn how to use Tensorflow 2. This book is a cookbook with recipes that will help you play with RL, find ways to implement them as an AI developer and understand what you're doing.If you're an AI Developer and you're looking for some good scripts with explanations and some commentary on how they work and what they can be used for, this book is for you. If you're starting to learn Tensorflow 2, AI, RL, etc., this book might be good later.Overall, it's a good group of code, explanations right at your fingertips.

Lucia Mar 16, 2021

This is a great book for those who want an up to the point book in Reinforcement Learning. As the title gives away, the emphasis is on the implementation aspect of RL using Tensorflow.The most important aspect of the book is its easiness to read and modularity. Each algorithm is introduced in an effective 3 steps approach: (1) Getting ready, (2) How to do it and (3) How it works, which covers the basic modus-operandis of each algorithm.The book covers the main algorithms standard algorithms (value based, policy based etc) and some state of the art algos such as PPO and A3C.The extra value added is on the last 5 chapters were the author discusses real world applications (stock markets, cryptocurrency, task automation) as well as cloud implementation and GPU acceleration which has not been covered in other books.

TensorFlow 2 Reinforcement Learning Cookbook: Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

What do you get with Print?