Deep Learning for Vision Systems 1st Edition by Mohamed Elgendy ISBN 1617296198 978-1617296192

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Product details:

ISBN 10: 1617296198

ISBN 13: 978-1617296192 

Author: Mohamed Elgendy 

How does the computer learn to understand what it sees? Deep Learning for Vision Systems answers that by applying deep learning to computer vision. Using only high school algebra, this book illuminates the concepts behind visual intuition. You’ll understand how to use deep learning architectures to build vision system applications for image generation and facial recognition.

Table of contents:

PART 1 – DEEP LEARNING FOUNDATION

1 Welcome to computer vision

2 Deep learning and neural networks

3 Convolutional neural networks

4 Structuring DL projects and hyperparameter tuning

PART 2 – IMAGE CLASSIFICATION AND DETECTION

5 Advanced CNN architectures

6 Transfer learning

7 Object detection with R-CNN, SSD, and YOLO

PART 3 – GENERATIVE MODELS AND VISUAL EMBEDDINGS

8 Generative adversarial networks (GANs)

9 DeepDream and neural style transfer

10 Visual embeddings

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Tags: Mohamed Elgendy, Deep, Learning, Vision, Systems