Boltzmann in Easy Steps
Deep Learning Made Easy with R: A Gentle Introduction For Data Science [Repost] eBooks & eLearning
Posted by Free butterfly at May 11, 2019
![Deep Learning Made Easy with R: A Gentle Introduction For Data Science [Repost]](https://pixhost.icu/avaxhome/2f/06/0067062f_medium.jpg)
Deep Learning Made Easy with R: A Gentle Introduction For Data Science by N.D Lewis
English | January 10, 2016 | ISBN: 1519514212 | 254 pages | PDF | 5.88 Mb
English | January 10, 2016 | ISBN: 1519514212 | 254 pages | PDF | 5.88 Mb
Deep Learning Made Easy with R: A Gentle Introduction For Data Science eBooks & eLearning
Posted by AlenMiler at Feb. 13, 2019
Deep Learning Made Easy with R: A Gentle Introduction For Data Science by N.D Lewis
English | January 10, 2016 | ISBN: 1519514212 | 254 pages | PDF | 5.88 Mb
English | January 10, 2016 | ISBN: 1519514212 | 254 pages | PDF | 5.88 Mb
PTC Mathcad Prime 8.0.0.0 Software
Posted by scutter at March 17, 2022
PTC Mathcad Prime 8.0.0.0 | 929.8 mb
Languages Supported: English, Français, Deutsch, Italiano, 日本語,
한국어, Русский, Simplified 中文, Español, Traditional 中文
Languages Supported: English, Français, Deutsch, Italiano, 日本語,
한국어, Русский, Simplified 中文, Español, Traditional 中文
The PTC Mathcad development team is pleased to announce the availability of Mathcad Prime 8.0.0.0 is the industry standard for engineering mathematics software, enabling you to solve your most complex problems, and share your engineering calculations.
TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python eBooks & eLearning
Posted by AvaxGenius at Jan. 31, 2019
TensorFlow 1.x Deep Learning Cookbook: Over 90 unique recipes to solve artificial-intelligence driven problems with Python by Antonio Gulli
English | PDF (True),MOBI+Code Files | 12 December 2017 | 526 Pages | ISBN : 1788293592 | 40.42/79.56/27.02 MB
Take the next step in implementing various common and not-so-common neural networks with Tensorflow 1.x
Deep neural networks (DNNs) have achieved a lot of success in the field of computer vision, speech recognition, and natural language processing. The entire world is filled with excitement about how deep networks are revolutionizing artificial intelligence. This exciting recipe-based guide will take you from the realm of DNN theory to implementing them practically to solve the real-life problems in artificial intelligence domain.