E-Book, Englisch, 450 Seiten
Menshawy Deep Learning By Example
1. Auflage 2018
ISBN: 978-1-78839-576-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A hands-on guide to implementing advanced machine learning algorithms and neural networks
E-Book, Englisch, 450 Seiten
ISBN: 978-1-78839-576-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
No detailed description available for "Deep Learning By Example".
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Weitere Infos & Material
Table of Contents - Data science: Bird's-eye view
- Data Modeling in Action - The Titanic Example
- Feature Engineering and Model Complexity
- Get Up and Running with TensorFlow
- Tensorflow in Action - Some Basic Examples
- Deep Feed-forward Neural Networks - Implementing Digit Classification
- Introduction to Convolutional Neural Networks
- Object Detection
- Object Detection
- Recurrent-Type Neural Networks - Language modeling
- Representation Learning - Implementing Word Embeddings
- Neural sentiment Analysis
- Autoencoders
- Generative Adversarial Networks in Action - Generating New Images
- Face Generation and Handling Missing Labels
- Appendix - Implementing Fish Recognition