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

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.

Get the book

Amazon.com

Search the book

eBay.com

Search the book

Other editions

• 

  Deep Learning for Computer Vision

  • 2018-01-23
  • 310 pages
  • Paperback
  • Packt Publishing

Similar books

• 

  Family History Digital Libraries

  By William Sims Bainbridge

  One named Sara and Timberlake had 11 male workers, 1 female worker, and 4 children workers, so it might have employed the Minor family.

• 

  Foundation Dreamweaver MX

  By Craig Grannell, Jerome Turner, Matt Stephens

  So here's what we need to do to arrive at our layout: s Create the main table to hold all the page elements. s Deal with the navigation area which is ...

• 

  Cisco CCNA Certification, 2 Volume Set: Exam 200-301

  By Todd Lammle

  This inclusive, two-book set provides what you need to know to succeed on the new CCNA exam. The set includes Understanding Cisco Networking Technologies: Volume 1 and the CCNA Certification Study Guide: Volume 2.

• 

  CompTIA Network+ Study Guide: Exam N10-006

  By Todd Lammle

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CompTIA Network+ Study Guide with Online Labs: N10-007 Exam

  By Todd Lammle, Jon Buhagiar

  ... you can use: –a –A –c –n –r –R –S –s All nbtstat switches are case sensitive. Generally speaking, lowercase switches deal with NetBIOS names of hosts, ...

• 

  CCNA: Cisco Certified Network Associate FastPass

  By Todd Lammle

  S The S reference point defines the point between the customer router and an ... with the letter E deal with using ISDN on the existing telephone network.

• 

  Stranger in the Chat Room

  By Todd Hafer, Jedd Hafer

  A sequel to In the Chat Room With God finds a group of teens contacted by a mysterious and increasingly malevolent character who claims to know about their encounters with the Almighty and challenges their beliefs. Original.

• 

  Error Correction Coding: Mathematical Methods and Algorithms

  By Todd K. Moon

  M M−1∑ k=0 −∞ ∞ k=0 The average energy per signal E s ∫ can be related to the ... we will deal primarily with additive white Gaussian noise (AWGN), ...

• 

  Security+ Training Guide

  By Todd King

  ... to deal with most , but unfortunately not all , of these potential threats . ... The S / MIME standard implements encryption for message content using ...

• 

  CCDA: Cisco Certified Design Associate Study Guide: Exam 640-861

  By Todd Lammle, Andy Barkl

  S reference point The S reference point defines the reference point between ... with the letter E deal with using ISDN on the existing telephone network.