Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks [E-Book] / Ahmed Menshawy.
Deep learning is a popular subset of machine learning, and it allows you to build complex models that are faster and give more accurate predictions. This book is your companion to take your first steps into the world of deep learning, with hands-on examples to boost your understanding of the topic....
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Full text |
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Personal Name(s): | Menshawy, Ahmed, author |
Edition: |
1st edition |
Imprint: |
Birmingham :
Packt Publishing,
2018
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Physical Description: |
442 pages (online resource) |
Note: |
englisch |
ISBN: |
178839576X 9781788395762 9781788399906 1788399900 |
Subject (LOC): |
- Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks
- Packt Upsell
- Contributors
- Table of Contents
- Preface
- Chapter 1: Data Science - A Birds' Eye View
- Chapter 2: Data Modeling in Action - The Titanic Example
- Chapter 3: Feature Engineering and Model Complexity - The Titanic Example Revisited
- Chapter 4: Get Up and Running with TensorFlow
- Chapter 5: TensorFlow in Action - Some Basic Examples
- Chapter 6: Deep Feed-forward Neural Networks - Implementing Digit Classification
- Chapter 7: Introduction to Convolutional Neural Networks
- Chapter 8: Object Detection - CIFAR-10 Example
- Chapter 9: Object Detection - Transfer Learning with CNNs
- Chapter 10: Recurrent-Type Neural Networks - Language Modeling
- Chapter 11: Representation Learning - Implementing Word Embeddings
- Chapter 12: Neural Sentiment Analysis
- Chapter 13: Autoencoders - Feature Extraction and Denoising
- Chapter 14: Generative Adversarial Networks
- Chapter 15: Face Generation and Handling Missing Labels
- Appendix: Implementing Fish Recognition
- Other Books You May Enjoy
- Index.