Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data
Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.
Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative.
Country | USA |
Author | David Foster |
Binding | Kindle Edition |
Edition | 1 |
EISBN | 9781492041900 |
Format | Kindle eBook |
Label | O'Reilly Media |
Manufacturer | O'Reilly Media |
NumberOfPages | 330 |
PublicationDate | 2019-06-28 |
Publisher | O'Reilly Media |
ReleaseDate | 2019-07-03 |
Studio | O'Reilly Media |