Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.

  • Apple
    Apple
  • Android
    Android
  • Windows Phone
    Windows Phone
  • Click here to download from Amazon appstore
    Android

To get the free app, enter mobile phone number.

kcpAppSendButton

Buying Options

Digital List Price:    642.59
Kindle Price:    422.46

Save    3,118.54 (88%)

inclusive of all taxes

includes free wireless delivery via Amazon Whispernet

These promotions will be applied to this item:

Some promotions may be combined; others are not eligible to be combined with other offers. For details, please see the Terms & Conditions associated with these promotions.

Deliver to your Kindle or other device

Deliver to your Kindle or other device

<Embed>
Kindle App Ad
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras by [Shanmugamani, Rajalingappaa]

Follow the Author

Something went wrong. Please try your request again later.


Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras Kindle Edition

4.0 out of 5 stars 10 customer reviews

See all 2 formats and editions Hide other formats and editions
Price
New from
Kindle Edition
   422.46

Length: 312 pages Enhanced Typesetting: Enabled Page Flip: Enabled
Language: English
  • Due to its large file size, this book may take longer to download

Product description

Product Description

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to build deep learning models for object detection, image classification, similarity learning, image captioning, and more
  • Includes tips on optimizing and improving the performance of your models under various constraints

Book Description

Deep learning has shown its power in several application areas of Artificial Intelligence, especially in Computer Vision. Computer Vision is the science of understanding and manipulating images, and finds enormous applications in the areas of robotics, automation, and so on. This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning.

In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.

What you will learn

  • Set up an environment for deep learning with Python, TensorFlow, and Keras
  • Define and train a model for image and video classification
  • Use features from a pre-trained Convolutional Neural Network model for image retrieval
  • Understand and implement object detection using the real-world Pedestrian Detection scenario
  • Learn about various problems in image captioning and how to overcome them by training images and text together
  • Implement similarity matching and train a model for face recognition
  • Understand the concept of generative models and use them for image generation
  • Deploy your deep learning models and optimize them for high performance

Who this book is for

This book is targeted at data scientists and Computer Vision practitioners who wish to apply the concepts of Deep Learning to overcome any problem related to Computer Vision. A basic knowledge of programming in Python—and some understanding of machine learning concepts—is required to get the best out of this book.

Table of Contents

  1. Getting Started
  2. Image Classification
  3. Image Retrieval
  4. Object Detection
  5. Semantic Segmentation
  6. Similarity Learning
  7. Image Captioning
  8. Generative models
  9. Video Classification
  10. Deployment

About the Author

Rajalingappaa Shanmugamani is currently working as a Deep Learning Lead at SAP, Singapore. Previously, he has worked and consulted at various startups for developing computer vision products. He has a Masters from Indian Institute of Technology - Madras where his thesis was based on applications of computer vision in the manufacturing industry. He has published articles in peer-reviewed journals and conferences and applied for few patents in the area of machine learning. In his spare time, he coaches programming and machine learning to school students and engineers.

Product details

  • Format: Kindle Edition
  • File Size: 48071 KB
  • Print Length: 312 pages
  • Page Numbers Source ISBN: 1788295625
  • Publisher: Packt Publishing; 1 edition (23 January 2018)
  • Sold by: Amazon Asia-Pacific Holdings Private Limited
  • Language: English
  • ASIN: B072L1CG5X
  • Text-to-Speech: Enabled
  • X-Ray:
  • Word Wise: Not Enabled
  • Screen Reader: Supported
  • Enhanced Typesetting: Enabled
  • Average Customer Review: 4.0 out of 5 stars 10 customer reviews
  • Amazon Bestsellers Rank: #51,017 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
  • Would you like to tell us about a lower price?


10 customer reviews

4.0 out of 5 stars

Review this product

Share your thoughts with other customers

Showing 1-8 of 10 reviews

3 February 2018
Format: Kindle EditionVerified Purchase
2 people found this helpful
Comment Report abuse
15 August 2018
Format: PaperbackVerified Purchase
One person found this helpful
Comment Report abuse
19 December 2018
Format: Kindle EditionVerified Purchase
One person found this helpful
Comment Report abuse
9 February 2018
Format: Kindle EditionVerified Purchase
10 February 2018
Format: Kindle EditionVerified Purchase
9 February 2018
Format: Kindle EditionVerified Purchase
11 February 2018
Format: Kindle EditionVerified Purchase
6 September 2018
Format: PaperbackVerified Purchase

Would you like to see more reviews about this item?

click to open popover