Foster D Generative Deep Learning Teaching Machines to Paint, 2ed 2023
Date: 2 May 2023 | Posted by: BeMyLove
Foster D Generative Deep Learning Teaching Machines to Paint, 2ed 2023 | 73.64 MB
English | 755 Pages
Title: Generative Deep Learning, 2nd Edition
Author: David Foster
Year: 2019
Description:
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.
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https://rapidgator.net/file/3a35f24b9459c8a7d949cfe9eb3e2eab/Foster_D._Generative_Deep_Learning._Teaching_Machines_to_Paint...2ed_2023.rar
https://uploadgig.com/file/download/1398558496a3a5f6/Foster_D._Generative_Deep_Learning._Teaching_Machines_to_Paint...2ed_2023.rar
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.
- 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, GPT-2) and image generation models such as ProGAN and StyleGAN
DOWNLOAD:
https://rapidgator.net/file/3a35f24b9459c8a7d949cfe9eb3e2eab/Foster_D._Generative_Deep_Learning._Teaching_Machines_to_Paint...2ed_2023.rar
https://uploadgig.com/file/download/1398558496a3a5f6/Foster_D._Generative_Deep_Learning._Teaching_Machines_to_Paint...2ed_2023.rar
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