Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
Planche, Benjamin,Andres, Eliot
Language: English
Published by Packt Publishing, 2019
- Softcover
- New
Seller: The Book Corner, Beaverton, OR, U.S.A.The Book Corner
AbeBooks seller since March 8, 2017
Condition: New
£ 25.38
Quantity: 1 available
Add to basketItem description from seller
Paperback. Cover and spine in good condition. Spine is tight. Pages are clean, no markings, notes or stains. Ships from Friends bookstore to benefit Beaverton (Oregon) library.
Seller Inventory # mon0000026740
- Title
- Hands-On Computer Vision with TensorFlow 2: Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
- Author
- Planche, Benjamin,Andres, Eliot
- Publisher
- Packt Publishing
- Publication year
- 2019
- Condition
- New
- Binding
- paperback
- Language
- English
- ISBN 10
- 1788830644
- ISBN 13
- 9781788830645
- Series
- Book 101 of 300: Lecture Notes in Computer Science
A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and more
Key Features
- Discover how to build, train, and serve your own deep neural networks with TensorFlow 2 and Keras
- Apply modern solutions to a wide range of applications such as object detection and video analysis
- Learn how to run your models on mobile devices and web pages and improve their performance
Book Description
Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. This book will help you explore TensorFlow 2, the brand new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks.
Hands-On Computer Vision with TensorFlow 2 starts with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the book demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts.
By the end of the book, you will have both the theoretical understanding and practical skills to solve advanced computer vision problems with TensorFlow 2.0.
What you will learn
- Create your own neural networks from scratch
- Classify images with modern architectures including Inception and ResNet
- Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net
- Tackle problems faced when developing self-driving cars and facial emotion recognition systems
- Boost your application's performance with transfer learning, GANs, and domain adaptation
- Use recurrent neural networks (RNNs) for video analysis
- Optimize and deploy your networks on mobile devices and in the browser
Who this book is for
If you're new to deep learning and have some background in Python programming and image processing, like reading/writing image files and editing pixels, this book is for you. Even if you're an expert curious about the new TensorFlow 2 features, you'll find this book useful.
While some theoretical concepts require knowledge of algebra and calculus, the book covers concrete examples focused on practical applications such as visual recognition for self-driving cars and smartphone apps.
Table of Contents
- Computer Vision and Neural Networks
- TensorFlow Basics and Training a Model
- Modern Neural networks
- Influential Classification Tools
- Object Detection Models
- Enhancing and Segmenting Images
- Training on Complex and Scarce Datasets
- Video and Recurrent Neural Networks
- Optimizing Models and Deploying on Mobile Devices
- Appendix
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
The Book Corner
Beaverton, OR, U.S.A.
AbeBooks seller since March 8, 2017
Shipping rates within U.S.A.
| Item | 5 to 14 business days | 3 to 6 business days |
|---|---|---|
| First item | £ 3.73 | £ 7.84 |
Payment methods
Store description
The Book Corner is a used book store operated by the Friends of the Beaverton Library. The Friends group is a nonprofit organization that donates the proceeds of book sales to supplement programs and materials for the two libraries in the Beaverton (Oregon) area.
Seller's business information
New Friends of the Beaverton City Library
12470 SW 5th Street
Beaverton, OR U.S.A. 97005
Terms of sale
The Book Corner is a used book store operated by the New Friends of the Beaverton City Library. The Friends group is a nonprofit organization that donates the proceeds of book sales to supplement programs and materials for the two libraries in the Beaverton (Oregon) area.
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 The Book Corner, Beaverton, Oregon, 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
For larger items and international orders, additional shipping charges may be required.