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Applied Deep Learning with Keras

You're reading from   Applied Deep Learning with Keras Solve complex real-life problems with the simplicity of Keras

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Product type Paperback
Published in Apr 2019
Publisher
ISBN-13 9781838555078
Length 412 pages
Edition 1st Edition
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Authors (3):
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Matthew Moocarme Matthew Moocarme
Author Profile Icon Matthew Moocarme
Matthew Moocarme
Mahla Abdolahnejad Mahla Abdolahnejad
Author Profile Icon Mahla Abdolahnejad
Mahla Abdolahnejad
Ritesh Bhagwat Ritesh Bhagwat
Author Profile Icon Ritesh Bhagwat
Ritesh Bhagwat
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Introduction


Computer vision is one of the most important concepts in machine learning and artificial intelligence. With the wide use of smart phones for capturing, sharing, and uploading images every day, the amount of data generated through images is increasing exponentially. So, the need for experts specializing in the field of computer vision is at an all-time high. Industries such as the health care industry are on the verge of a revolution due to the progress made in the field of medical imaging. This chapter introduces you to computer vision and the various industries in which computer vision is used. You will also learn about Convolutional Neural Networks (CNNs), which are the most widely used neural networks for image processing. Like neural networks, CNNs are also made up of neurons. The neurons receive inputs that are processed using weighted sums and activation functions. However, unlike ANNs, which use vectors as inputs, a CNN uses images as its input. In this chapter, we will...

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