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The Deep Learning Workshop

You're reading from   The Deep Learning Workshop Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839219856
Length 474 pages
Edition 1st Edition
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Authors (5):
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Nipun Sadvilkar Nipun Sadvilkar
Author Profile Icon Nipun Sadvilkar
Nipun Sadvilkar
Thomas Joseph Thomas Joseph
Author Profile Icon Thomas Joseph
Thomas Joseph
Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Mohan Kumar Silaparasetty Mohan Kumar Silaparasetty
Author Profile Icon Mohan Kumar Silaparasetty
Mohan Kumar Silaparasetty
Mirza Rahim Baig Mirza Rahim Baig
Author Profile Icon Mirza Rahim Baig
Mirza Rahim Baig
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Toc

Table of Contents (9) Chapters Close

Preface
1. Building Blocks of Deep Learning 2. Neural Networks FREE CHAPTER 3. Image Classification with Convolutional Neural Networks (CNNs) 4. Deep Learning for Text – Embeddings 5. Deep Learning for Sequences 6. LSTMs, GRUs, and Advanced RNNs 7. Generative Adversarial Networks Appendix

Digital Images

Humans can see through their eyes by transforming light into electrical signals that are then processed by the brain. But computers do not have physical eyes to capture light. They can only process information in digital forms composed of bits (0 or 1). So, to be able to “see", computers require a digitized version of an image.

A digital image is formed by a two-dimensional matrix of pixels. For a grayscale image, each of these pixels can take a value between 0 and 255 that represents its intensity or level of gray. A digital image can be composed of one channel for a black and white image or three channels (red, blue, and green) for a color image:

Figure 3.2: Digital representation of an image

A digital image is characterized by its dimensions (height, width, and channel):

  • Height: How many pixels there are on the vertical axis.
  • Width: How many pixels there are on the horizontal axis.
  • Channel: How many channels...
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