February 2018
Intermediate to advanced
450 pages
11h 27m
English
Content preview from Deep Learning By Example
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Why tensors?
The tensor structure helps us by giving us the freedom to shape the dataset the way we want.
This is particularly helpful when dealing with images, due to the nature of how information in images are encoded.
Thinking about images, it's easy to understand that it has a height and width, so it would make sense to represent the information contained in it with a two-dimensional structure (a matrix)... until you remember that images have colors. To add information about the colors, we need another dimension, and that's when Tensors become particularly helpful.
Images are encoded into color channels; image data is represented in each color's intensity in a color channel at a given point, the most common one being RGB (which means ...
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