Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Deep Learning with TensorFlow and Keras – 3rd edition
Deep Learning with TensorFlow and Keras – 3rd edition

Deep Learning with TensorFlow and Keras – 3rd edition: Build and deploy supervised, unsupervised, deep, and reinforcement learning models , Third Edition

Arrow left icon
Profile Icon Dr. Amita Kapoor Profile Icon Antonio Gulli Profile Icon Sujit Pal
Arrow right icon
€37.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (45 Ratings)
Paperback Oct 2022 698 pages 3rd Edition
eBook
€8.99 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m
Arrow left icon
Profile Icon Dr. Amita Kapoor Profile Icon Antonio Gulli Profile Icon Sujit Pal
Arrow right icon
€37.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6 (45 Ratings)
Paperback Oct 2022 698 pages 3rd Edition
eBook
€8.99 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €29.99
Paperback
€37.99
Subscription
Free Trial
Renews at €18.99p/m

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Table of content icon View table of contents Preview book icon Preview Book

Deep Learning with TensorFlow and Keras – 3rd edition

Regression and Classification

Regression and classification are two fundamental tasks ubiquitously present in almost all machine learning applications. They find application in varied fields ranging from engineering, physical science, biology, and the financial market, to the social sciences. They are the fundamental tools in the hands of statisticians and data scientists. In this chapter, we will cover the following topics:

  • Regression
  • Classification
  • Difference between classification and regression
  • Linear regression
  • Different types of linear regression
  • Classification using the TensorFlow Keras API
  • Applying linear regression to estimate the price of a house
  • Applying logistic regression to identify handwritten digits

All the code files for this chapter can be found at https://packt.link/dltfchp2

Let us first start with understanding what regression really is.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Understand the fundamentals of deep learning and machine learning through clear explanations and extensive code samples
  • Implement graph neural networks, transformers using Hugging Face and TensorFlow Hub, and joint and contrastive learning
  • Learn cutting-edge machine and deep learning techniques

Description

Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments. This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML.

Who is this book for?

This hands-on machine learning book is for Python developers and data scientists who want to build machine learning and deep learning systems with TensorFlow. This book gives you the theory and practice required to use Keras, TensorFlow, and AutoML to build machine learning systems. Some machine learning knowledge would be useful. We don’t assume TF knowledge.

What you will learn

  • Learn how to use the popular GNNs with TensorFlow to carry out graph mining tasks
  • Discover the world of transformers, from pretraining to fine-tuning to evaluating them
  • Apply self-supervised learning to natural language processing, computer vision, and audio signal processing
  • Combine probabilistic and deep learning models using TensorFlow Probability
  • Train your models on the cloud and put TF to work in real environments
  • Build machine learning and deep learning systems with TensorFlow 2.x and the Keras API
Estimated delivery fee Deliver to Slovakia

Premium delivery 7 - 10 business days

€25.95
(Includes tracking information)

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 06, 2022
Length: 698 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803232911
Category :
Concepts :
Tools :

What do you get with Print?

Product feature icon Instant access to your digital eBook copy whilst your Print order is Shipped
Product feature icon Paperback book shipped to your preferred address
Product feature icon Download this book in EPUB and PDF formats
Product feature icon Access this title in our online reader with advanced features
Product feature icon DRM FREE - Read whenever, wherever and however you want
Product feature icon AI Assistant (beta) to help accelerate your learning
OR
Modal Close icon
Payment Processing...
tick Completed

Shipping Address

Billing Address

Shipping Methods
Estimated delivery fee Deliver to Slovakia

Premium delivery 7 - 10 business days

€25.95
(Includes tracking information)

Product Details

Publication date : Oct 06, 2022
Length: 698 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803232911
Category :
Concepts :
Tools :

Packt Subscriptions

See our plans and pricing
Modal Close icon
€18.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
€189.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts
€264.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just €5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total 119.97
Deep Learning with TensorFlow and Keras – 3rd edition
€37.99
Modern Time Series Forecasting with Python
€39.99
Machine Learning with PyTorch and Scikit-Learn
€41.99
Total 119.97 Stars icon
Banner background image

Table of Contents

22 Chapters
Neural Network Foundations with TF Chevron down icon Chevron up icon
Regression and Classification Chevron down icon Chevron up icon
Convolutional Neural Networks Chevron down icon Chevron up icon
Word Embeddings Chevron down icon Chevron up icon
Recurrent Neural Networks Chevron down icon Chevron up icon
Transformers Chevron down icon Chevron up icon
Unsupervised Learning Chevron down icon Chevron up icon
Autoencoders Chevron down icon Chevron up icon
Generative Models Chevron down icon Chevron up icon
Self-Supervised Learning Chevron down icon Chevron up icon
Reinforcement Learning Chevron down icon Chevron up icon
Probabilistic TensorFlow Chevron down icon Chevron up icon
An Introduction to AutoML Chevron down icon Chevron up icon
The Math Behind Deep Learning Chevron down icon Chevron up icon
Tensor Processing Unit Chevron down icon Chevron up icon
Other Useful Deep Learning Libraries Chevron down icon Chevron up icon
Graph Neural Networks Chevron down icon Chevron up icon
Machine Learning Best Practices Chevron down icon Chevron up icon
TensorFlow 2 Ecosystem Chevron down icon Chevron up icon
Advanced Convolutional Neural Networks Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.6
(45 Ratings)
5 star 73.3%
4 star 17.8%
3 star 4.4%
2 star 0%
1 star 4.4%
Filter icon Filter
Top Reviews

Filter reviews by




Carlo Estopia Feb 18, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Feefo Verified review Feefo
hawkinflight Oct 06, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is the third edition of the book, updated and seasoned, and my first time looking at it. Why learn and use Deep Learning? "DL techniques can solve problems with a level of accuracy that was not possible using previous methods."The book is nicely concise and thorough, well-written. Following the code example in the first chapter, I quickly fit the Sentiment Analysis model of IMDB reviews. I had not really used Google Colab before, it was easy and similar to Jupyter notebooks. You can choose to run on a CPU, GPU, or TPU. This first example uses the simplest of three methods of model building with tf.keras, the Sequential() model. Skimming the code made me curious - what is this and that?, so I searched online for the documentation, quickly found it at tensorflow dot org, where they also have tutorials. There are many code examples in the book and they use Python which uses "TensorFlow 2.x, a modular network library based on Keras-like APIs".I like the chapter divisions and the offerings; there are 20, which includes one focusing on the math behind DL. Other topics of interest to me are: Transformers, Probabilistic Tensorflow, Intro to AutoML, Four generations of TPUs, Other Useful DL libraries, ML Best Practices, and TensorFlow Lite. I like that there is a list of references and resources at the end of each chapter.I think this book will be an excellent companion on a further journey of exploration of DL model building. The library comes with datasets, if you want to avoid preparing your own at the start.
Amazon Verified review Amazon
Lydia Jan 23, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Absolutely amazing book which delivers insights on machine learning and NLP models. The mathematical and structural descriptions are well motivated and followed by code that is well documented using standard packages. It is rare to find such a reference on even one of the topics, but this reference delivers across a wide range of techniques.I was especially impressed with the chapters devoted to natural language processing. After well written chapters on basic concepts such as word vectors, the authors provide excellent coverage of transformers which are the current state of the art for language processing. The authors cover the basics of transformers and then illuminate the differences amongst the many transformer variates with their target uses and particular strengths. As in the other chapters, the discussion of transformers is capped by a detailed walk through of code insuring that the reader understands the steps needed to construct the processing pipeline through to model training and output.The ending chapters make up an excellent reference manual of concept and techniques such as parameter turning using AutoML, the mathematical methods used to optimize model coefficients by backpropagation, hardware decisions, and an introduction to other deep learning libraries.I highly recommend this book regardless of your level of modeling experience.Elliot NomaLead Data ScientistThe Financial Regulatory Authority
Amazon Verified review Amazon
Nivas Dec 21, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Really enjoyed reading through 'Deep Learning with TensorFlow and Keras'. The authors have delivered a comprehensive and detailed book on how to use TensorFlow and Keras. Not only will you get familiar with using ML platforms and open-source libraries, you will learn when and why you should use certain ML techniques. There is so much useful content here that I will plan to continue to use this book as a reference!
Amazon Verified review Amazon
SACHIN SINGH Nov 30, 2022
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This textbook is really good, and contains from scratch knowledge about deep learning framework and implementation.Consider this textbook for the serious life long learners of deep learning, and also helpful in clearing the tensorflow developer exam.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is the delivery time and cost of print book? Chevron down icon Chevron up icon

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:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
What is custom duty/charge? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

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:

  1. 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.
  2. 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.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. 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? Chevron down icon Chevron up icon

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? Chevron down icon Chevron up icon

You can pay with the following card types:

  1. Visa Debit
  2. Visa Credit
  3. MasterCard
  4. PayPal
What is the delivery time and cost of print books? Chevron down icon Chevron up icon

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:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela