You're reading from The Deep Learning with Keras Workshop

Product typeBook

Published inJul 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781800562967

Edition1st Edition

Languages

Python

Tools

Keras

Concepts

Deep Learning

Authors (3):

Matthew Moocarme

Mahla Abdolahnejad

Ritesh Bhagwat

View More author details

Computer Vision

To understand computer vision, let's discuss human vision. Human vision is the ability of the human eye and brain to see and recognize objects. Computer vision is the process of giving a machine a similar, if not better, understanding of seeing and identifying objects in the real world.

It is fairly simple for the human eye to precisely identify whether an animal is a tiger or a lion, but it takes a lot of training for a computer system to understand such objects distinctly. Computer vision can also be defined as building mathematical models that can mimic the function of a human eye and brain. Basically, it is about training computers to understand and process images and videos.

Computer vision is an integral part of many cutting-edge areas of robotics: health care and medical (X-rays, MRI scans, CT scans, and so on), drones, self-driving cars, sports and recreation, and so on. Almost all businesses need computer vision to run successfully.

Imagine...

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The Deep Learning with Keras Workshop

Published in: Jul 2020Publisher: PacktISBN-13: 9781800562967

Authors (3)

Matthew Moocarme

Matthew Moocarme is an accomplished data scientist with more than eight years of experience in creating and utilizing machine learning models. He comes from a background in the physical sciences, in which he holds a Ph.D. in physics from the Graduate Center of CUNY. Currently, he leads a team of data scientists and engineers in the media and advertising space to build and integrate machine learning models for a variety of applications. In his spare time, Matthew enjoys sharing his knowledge with the data science community through published works, conference presentations, and workshops.
Read more about Matthew Moocarme

Mahla Abdolahnejad

Mahla Abdolahnejad is a Ph.D. candidate in systems and computer engineering with Carleton University, Canada. She also holds a bachelor's degree and a master's degree in biomedical engineering, which first exposed her to the field of artificial intelligence and artificial neural networks, in particular. Her Ph.D. research is focused on deep unsupervised learning for computer vision applications. She is particularly interested in exploring the differences between a human's way of learning from the visual world and a machine's way of learning from the visual world, and how to push machine learning algorithms toward learning and thinking like humans.
Read more about Mahla Abdolahnejad

Ritesh Bhagwat

Ritesh Bhagwat has a master's degree in applied mathematics with a specialization in computer science. He has over 14 years of experience in data-driven technologies and has led and been a part of complex projects ranging from data warehousing and business intelligence to machine learning and artificial intelligence. He has worked with top-tier global consulting firms as well as large multinational financial institutions. Currently, he works as a data scientist. Besides work, he enjoys playing and watching cricket and loves to travel. He is also deeply interested in Bayesian statistics.
Read more about Ritesh Bhagwat

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Computer Vision

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