Deep Learning Goodfellow

Deep Learning (Adaptive Computation and Machine Learning)  eBooks & eLearning

Posted by IrGens at Sept. 1, 2021
Deep Learning (Adaptive Computation and Machine Learning)

Deep Learning (Adaptive Computation and Machine Learning) by Ian Goodfellow, Yoshua Bengio, Aaron Courville
English | November 18, 2016 | ISBN: 0262035618 | EPUB | 800 pages | 26.2 MB

Deep Learning Foundation Nanodegree v1.0.0  eBooks & eLearning

Posted by ParRus at Nov. 22, 2018
Deep Learning Foundation Nanodegree v1.0.0

Deep Learning Foundation Nanodegree v1.0.0
WEBRip | English | MP4 | 1280 x 720 | AVC ~65.3 kbps | 29.970 fps
AAC | 126 Kbps | 44.1 KHz | 2 channels | 30:55:28 | 5.55 GB
Genre: Video Tutorial

Deep learning is driving advances in artificial intelligence that are changing our world. Enroll now to build and apply your own deep neural networks to challenges like image classification and generation, time-series prediction, and model deployment.

Deep Learning  eBooks & eLearning

Posted by arundhati at June 24, 2019
Deep Learning

Ian Goodfellow, "Deep Learning "
English | ISBN: 0262035618 | 2016 | 800 pages | PDF | 16 MB

Deep Learning - Das umfassende Handbuch  eBooks & eLearning

Posted by hill0 at June 21, 2020
Deep Learning - Das umfassende Handbuch

Deep Learning - Das umfassende Handbuch: Grundlagen, aktuelle Verfahren und Algorithmen, neue Forschungsansätze
by Ian Goodfellow

Deutsch | 2018 | ISBN: 3958457002 | 906 Pages | EPUB | 24 MB

Generative Adversarial Networks for Image Generation  eBooks & eLearning

Posted by AvaxGenius at Feb. 17, 2021
Generative Adversarial Networks for Image Generation

Generative Adversarial Networks for Image Generation by Xudong Mao
English | PDF,EPUB | 2021 | 86 Pages | ISBN : 981336047X | 48 MB

Generative adversarial networks (GANs) were introduced by Ian Goodfellow and his co-authors including Yoshua Bengio in 2014, and were to referred by Yann Lecun (Facebook’s AI research director) as “the most interesting idea in the last 10 years in ML.” GANs’ potential is huge, because they can learn to mimic any distribution of data, which means they can be taught to create worlds similar to our own in any domain: images, music, speech, prose.