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Viser: An Introduction to Applications of Deep Learning for Developers - From Conversational Bots in Customer Service to Medical Image Processing
Introduction to Deep Learning Business Applications for Developers Vital Source e-bog
Armando Vieira og Bernardete Ribeiro
(2018)
An Introduction to Applications of Deep Learning for Developers
From Conversational Bots in Customer Service to Medical Image Processing
Armando Vieira og Bernardete Ribeiro
(2018)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Reflowable pages)
- Udgiver: Springer Nature (Maj 2018)
- Forfattere: Armando Vieira og Bernardete Ribeiro
- ISBN: 9781484234532
Bookshelf online: 5 år fra købsdato.
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Detaljer om varen
- Paperback
- Udgiver: Apress L. P. (Maj 2018)
- Forfattere: Armando Vieira og Bernardete Ribeiro
- ISBN: 9781484234525
An Introduction to Deep Learning Business Applications for Developers covers some common DL algorithms such as content-based recommendation algorithms and natural language processing. You'll explore examples, such as video prediction with fully convolutional neural networks (FCNN) and residual neural networks (ResNets). You will also see applications of DL for controlling robotics, exploring the DeepQ learning algorithm with Monte Carlo Tree search (used to beat humans in the game of Go), and modeling for financial risk assessment. There will also be mention of the powerful set of algorithms called Generative Adversarial Neural networks (GANs) that can be applied for image colorization, image completion, and style transfer.
After reading this book you will have an overview of the exciting field of deep neural networks and an understanding of most of the major applications of deep learning. The book contains some coding examples, tricks, and insights on how to train deep learning models using the Keras framework.
What You Will Learn
- Find out about deep learning and why it is so powerful
- Work with the major algorithms available to train deep learning models
- See the major breakthroughs in terms of applications of deep learning
- Run simple examples with a selection of deep learning libraries
- Discover the areas of impact of deep learning in business
Who This Book Is For Data scientists, entrepreneurs, and business developers.
2. Deep Learning: An Overview.
3. Deep Neural Network Models
4. Image Processing
5. Natural Language Processing and Speech 6. Reinforcement Learning and Robotics
7. Recommendations Algorithms and Advertising
8. Games and Art
9. Other Applications
10. Business Impact of DL Technology
11. New Research and Future Directions. Appendix. Training DNN with Keras