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- Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
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Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
Ebook
Deep Learning is revolutionizing a wide range of industries. For many applications, deep learning has proven to outperform humans by making faster and more accurate predictions. This book provides a top-down and bottom-up approach to demonstrate deep learning solutions to real-world problems in different areas. These applications include Computer Vision, Natural Language Processing, Time Series, and Robotics.
The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios.
The Python Deep Learning Cookbook presents technical solutions to the issues presented, along with a detailed explanation of the solutions. Furthermore, a discussion on corresponding pros and cons of implementing the proposed solution using one of the popular frameworks like TensorFlow, PyTorch, Keras and CNTK is provided. The book includes recipes that are related to the basic concepts of neural networks. All techniques s, as well as classical networks topologies. The main purpose of this book is to provide Python programmers a detailed list of recipes to apply deep learning to common and not-so-common scenarios.
- 1. Programming Environment, GPU Computing, and Cloud Solutions
- 2. Feedforward Networks
- 3. Convolutional Neural Networks (CNN)
- 4. Recurrent and Recursive Neural Networks
- 5. Reinforcement Learning
- 6. Generative Adversarial Networks
- 7. Computer Vision
- 8. Natural Language Processing
- 9. Speech Recognition and Video Analysis
- 10. Time Series and Structured Data
- 11. Game Playing Agents and Robotics
- 12. Hyperparameter Selection and Tuning
- 13. Networks Internals
- 14. Pretrained Models
- Title: Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
- Author: Indra den Bakker
- Original title: Python Deep Learning Cookbook. Over 75 practical recipes on neural network modeling, reinforcement learning, and transfer learning using Python
- ISBN: 9781787122253, 9781787122253
- Date of issue: 2017-10-27
- Format: Ebook
- Item ID: e_15rt
- Publisher: Packt Publishing