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Hands-On Transfer Learning with Python
book

Hands-On Transfer Learning with Python

by Dipanjan Sarkar, Raghav Bali, Tamoghna Ghosh
August 2018
Intermediate to advanced
438 pages
12h 3m
English
Packt Publishing
Content preview from Hands-On Transfer Learning with Python

Deep learning-based image classification

Convolutional Neural Networks (CNNs) are at the heart of this deep learning revolution for improving the task of image classification. CNNs are specialized neural networks to handle image data. As a quick brush-up, CNNs help us infer shift and space invariant features through their shared weight architectures, and are basically a variant of feed forward networks. We have already covered the basics of CNNs in detail in Chapter 3, Understanding Deep Learning Architectures, and Chapter 5, Unleashing the Power of Transfer Learning. Before we move on, readers are encouraged to have a quick refresher for a better understanding. The following image showcases a typical CNN in action:

A typical CNN [Source: ...
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Publisher Resources

ISBN: 9781788831307