Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python

Name: Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python
Author: Iffat Zafar; Giounona Tzanidou; Richard Burton; Nimesh Patel; Leonardo Araujo
ISBN: 9781789130331

Iffat Zafar; Giounona Tzanidou; Richard Burton; Nimesh Patel; Leonardo Araujo

Language: English

Published by Packt Publishing, 2018

1789130336 / 9781789130331

Softcover
New

See all details

Seller: Majestic Books, Hounslow, United KingdomMajestic Books

4-star seller

AbeBooks seller since January 19, 2007

View this seller's items

Softcover

Condition: New

£ 38.31

£ 6.50 shipping

Ships from United Kingdom to U.S.A.

Quantity: 4 available

Add to basket

Free 30-day returns

Save for laterCreate a Want for similar items

Item description from seller

Print on Demand pp. 272.

Seller Inventory # 370286811

Contact seller about this item

Report this item

Title: Hands-On Convolutional Neural Networks with TensorFlow: Solve computer vision problems with modeling in TensorFlow and Python
Author: Iffat Zafar; Giounona Tzanidou; Richard Burton; Nimesh Patel; Leonardo Araujo
Publisher: Packt Publishing
Publication year: 2018
Condition: New
Binding: Soft cover
Language: English
ISBN 10: 1789130336
ISBN 13: 9781789130331

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges.

Key Features

Learn the fundamentals of Convolutional Neural Networks
Harness Python and Tensorflow to train CNNs
Build scalable deep learning models that can process millions of items

Book Description

Convolutional Neural Networks (CNN) are one of the most popular architectures used in computer vision apps. This book is an introduction to CNNs through solving real-world problems in deep learning while teaching you their implementation in popular Python library - TensorFlow. By the end of the book, you will be training CNNs in no time!

We start with an overview of popular machine learning and deep learning models, and then get you set up with a TensorFlow development environment. This environment is the basis for implementing and training deep learning models in later chapters. Then, you will use Convolutional Neural Networks to work on problems such as image classification, object detection, and semantic segmentation.

After that, you will use transfer learning to see how these models can solve other deep learning problems. You will also get a taste of implementing generative models such as autoencoders and generative adversarial networks.

Later on, you will see useful tips on machine learning best practices and troubleshooting. Finally, you will learn how to apply your models on large datasets of millions of images.

What you will learn

Train machine learning models with TensorFlow
Create systems that can evolve and scale during their life cycle
Use CNNs in image recognition and classification
Use TensorFlow for building deep learning models
Train popular deep learning models
Fine-tune a neural network to improve the quality of results with transfer learning
Build TensorFlow models that can scale to large datasets and systems

Who this book is for

This book is for Software Engineers, Data Scientists, or Machine Learning practitioners who want to use CNNs for solving real-world problems. Knowledge of basic machine learning concepts, linear algebra and Python will help.

Setup and introduction to TensorFlow
Deep Learning and Convolutional Neural Networks
Image Classification in Tensorflow
Object Detection and Segmentation
VGG, Inception Modules, Residuals, and MobileNets
Autoencoders, Variational Autoencoders, and Generative Adversarial Networks
Transfer Learning
Machine Learning Best Practices and Troubleshooting
Training at Scale

"Synopsis" may belong to another edition of this title.

About the Author

Iffat Zafar was born in Pakistan. She received her Ph.D. from the Loughborough University in Computer Vision and Machine Learning in 2008. After her Ph.D. in 2008, she worked as research associate at the Department of Computer Science, Loughborough University, for about 4 years. She currently works in the industry as an AI engineer, researching and developing algorithms using Machine Learning and Deep Learning for object detection and general Deep Learning tasks for edge and cloud-based applications. Giounona Tzanidou is a PhD in computer vision from Loughborough University, UK, where she developed algorithms for runtime surveillance video analytics. Then, she worked as a research fellow at Kingston University, London, on a project aiming at prediction detection and understanding of terrorist interest through intelligent video surveillance. She was also engaged in teaching computer vision and embedded systems modules at Loughborough University. Now an engineer, she investigates the application of deep learning techniques for object detection and recognition in videos. Richard Burton graduated from the University of Leicester with a master's degree in mathematics. After graduating, he worked as a research engineer at the University of Leicester for a number of years, where he developed deep learning object detection models for their industrial partners. Now, he is working as a software engineer in the industry, where he continues to research the applications of deep learning in computer vision. Nimesh Patel graduated from the University of Leicester with an MSc in applied computation and numerical modeling. During this time, a project collaboration with one of University of Leicesters partners was undertaken, dealing with Machine Learning for Hand Gesture recognition. Since then, he has worked in the industry, researching Machine Learning for Computer Vision related tasks, such as Depth Estimation. Leonardo Araujo is just the regular, Brazilian, curious engineer, who has worked in the industry for the past 19 years (yes, in Brazil, people work before graduation), doing HW/SW development and research on the topics of control engineering and computer vision. For the past 6 years, he has focused more on Machine Learning methods. His passions are too many to put on the book.

"About the title" may belong to another edition of this title.

Majestic Books

Hounslow, United Kingdom

4-star seller

AbeBooks seller since January 19, 2007

Shipping rates from United Kingdom to U.S.A.

Item	14 to 45 business days	5 to 10 business days
First item	£ 6.50	£ 9.85

Delivery times are set by sellers and vary by carrier and location. Orders passing through Customs may face delays and buyers are responsible for any associated duties or fees. Sellers may contact you regarding additional charges to cover any increased costs to ship your items.

Payment methods

Store description

We specialise in General Interest Books from South Asian countries.

Specialty

Art, Economics, Buddhism, Religion, Sociology, Painting

Seller's business information

BOOKS AND PERIODICALS AGENCY LTD

Unit 4 Alice way,
Hounslow, United Kingdom TW3 3UD

Contact sellerView this seller's itemsView seller's storefront

Terms of sale

Returns accepted if you are not satisfied with the Service or Book.

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 Majestic Books, Hounslow, United Kingdom, 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

Best packaging and fast delivery