Generative Deep Learning:

The Complete Deep Learning Course 2021 With 7+ Real Projects  eBooks & eLearning

Posted by ELK1nG at April 7, 2021
The Complete Deep Learning Course 2021 With 7+ Real Projects

The Complete Deep Learning Course 2021 With 7+ Real Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 6.18 GB | Duration: 16h 38

Learn how to use Google's Deep Learning Framework - TensorFlow with Python! Solve problems with cutting edge techniques!
Generative AI for Everyone: Deep learning, NLP, and LLMs for creative and practical applications

Generative AI for Everyone
by Sabesan, Karthikeyan;Sivagamisundari;Dutta, Nilip;, Sivagamisundari, Nilip Dutta

English | 2025 | ISBN: 9365897386 | 414 pages | True EPUB | 24.27 MB
Generative AI for Everyone: Deep learning, NLP, and LLMs for creative and practical applications

Generative AI for Everyone
by Sabesan, Karthikeyan;Sivagamisundari;Dutta, Nilip;, Sivagamisundari, Nilip Dutta

English | 2025 | ISBN: 9365897386 | 414 pages | True EPUB | 24.27 MB
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks (Repost)

Ahmed Menshawy, "Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks"
English | 2018 | pages: 450 | ISBN: 1788399900 | EPUB | 11,8 mb

Deep Learning for Vision Systems (Repost)  eBooks & eLearning

Posted by step778 at Oct. 7, 2024
Deep Learning for Vision Systems (Repost)

Mohamed Elgendy, "Deep Learning for Vision Systems"
English | 2020 | pages: 480 | ISBN: 1617296198 | PDF | 16,8 mb

Deep Learning for Vision Systems (Repost)  eBooks & eLearning

Posted by step778 at Oct. 7, 2024
Deep Learning for Vision Systems (Repost)

Mohamed Elgendy, "Deep Learning for Vision Systems"
English | 2020 | pages: 480 | ISBN: 1617296198 | PDF | 16,8 mb
Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x (Repost)

Swarna Gupta, Rehan Ali Ansari, Dipayan Sarkar, "Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x"
English | 2020 | pages: 328 | ISBN: 1789805678 | EPUB | 15,2 mb

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play  eBooks & eLearning

Posted by Free butterfly at May 15, 2023
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play by David Foster
English | 2023 | ISBN: 1098134184 | 601 pages | PDF | 37 Mb
Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play, 2nd Edition

Generative Deep Learning: Teaching Machines To Paint, Write, Compose, and Play, 2nd Edition by David Foster
English | June 6th, 2023 | ISBN: 1098134184 | 453 pages | True EPUB (Retail Copy) | 30.78 MB

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play  eBooks & eLearning

Posted by First1 at July 19, 2019
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play by David Foster
English | July 3rd, 2019 | ISBN: 1492041947 | 330 pages | EPUB (True/Retail Copy) | 39.18 MB

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.