Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play,Used
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play,Used

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play,Used

In Stock
SKU: SONG1492041947
Brand: O'Reilly
Sale price$24.90 Regular price$35.57
Save $10.67
Quantity
Add to wishlist
Add to compare

Processing time: 1-3 days

US Orders Ships in: 3-5 days

International Orders Ships in: 8-12 days

Return Policy: 15-days return on defective items

Payment Option
Payment Methods

Help

If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.

Customer service

All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com

Sale & Press

If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com

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, machinelearning engineers and data scientists will discover how to recreate some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoderdecoder 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 cuttingedge algorithms in the field. Through tips and tricks, you??ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT2) and image generation models such as ProGAN and StyleGAN

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

Recently Viewed