Deep learning for vision systems
"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."--
Read More ↓Title Statements
- Full title :Deep learning for vision systems / Mohamed Elgendy.
Summary
"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."--
Read More ↓Edition Statements
- Publication Date:2020
Publication Statements
- Publisher(s):Manning
- Place of Publication:Shelter Island, NY
- Language:eng
- Publication Date:2020
Notes
Comprend un index.
The Physical Object
- Description:xx, 458 pages : : illustrations ; : 24 cm.
Edition Identifiers
- ISBN:9781617296192, 1617296198
- oclc:on1256819445
- LC Classification:TA1634
Table of Contents
Welcome to computer vision -- Deep learning and neural networks -- Convolutional neural networks -- Structuring DL projects and hyperparameter tuning -- Advanced CNN architectures -- Transfer learning -- Object detection with R-CNN, SSD, and YOLO -- Generative adversarial networks (GANs) -- DeepDream and neural style transfer -- Visual embeddings.
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