Deep Learning: A Practitioner's Approach

Multi-Agent Machine Learning: A Reinforcement Approach  eBooks & eLearning

Posted by Bayron at Oct. 19, 2014
Multi-Agent Machine Learning: A Reinforcement Approach

Multi-Agent Machine Learning: A Reinforcement Approach by H. M. Schwartz
English | 2014 | ISBN: 111836208X | 256 pages | EPUB | 13 MB

Deep Learning  eBooks & eLearning

Posted by arundhati at Nov. 11, 2016
Deep Learning

Ian Goodfellow, Yoshua Bengio, "Deep Learning (draft)"
2016 | ISBN-10: 0262035618 | 800 pages | PDF | 23 MB

Learning Path : Diving into Deep Learning  eBooks & eLearning

Posted by FenixN at Oct. 22, 2016
Learning Path : Diving into Deep Learning

Learning Path : Diving into Deep Learning
HDRips | MP4/AVC, ~129 kb/s | 1280x720 | Duration: 09:01:48 | English: AAC, 128 kb/s (2 ch) | 1,62 GB
Genre: Development / Programming

A comprehensive introduction to Deep Learning with Python.

Autonomous Robotics and Deep Learning  

Posted by enmoys at June 18, 2014
Autonomous Robotics and Deep Learning

Autonomous Robotics and Deep Learning By Vishnu Nath, Stephen E. Levinson
2014 | 76 Pages | ISBN: 3319056026 | PDF | 4 MB
Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI

Practical Machine Learning with H20: Powerful, Scalable Techniques for Deep Learning and AI by Darren Cook
English | 31 Dec. 2016 | ISBN: 149196460X | 300 Pages | AZW3/MOBI/EPUB/PDF (conv) | 17.61 MB

In Practical Machine Learning with H2O, author Darren Cook introduces readers to H2O, an open-source machine learning package that is gaining popularity in the data science community.

Affect Regulation Training: A Practitioners' Manual (Repost)  eBooks & eLearning

Posted by DZ123 at Dec. 7, 2016
Affect Regulation Training: A Practitioners' Manual (Repost)

Matthias Berking, Brian Whitley, "Affect Regulation Training: A Practitioners' Manual"
English | 2014 | ISBN: 1493910213 | PDF | pages: 250 | 6.7 mb

Unsupervised Deep Learning in Python  eBooks & eLearning

Posted by AlenMiler at Oct. 17, 2016
Unsupervised Deep Learning in Python

Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano (Machine Learning in Python) by LazyProgrammer
English | 30 Jun 2016 | ASIN: B01HUA6BOG | 62 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.26 MB

When we talk about modern deep learning, we are often not talking about vanilla neural networks - but newer developments, like using Autoencoders and Restricted Boltzmann Machines to do unsupervised pre-training.

Deep Learning: Recurrent Neural Networks in Python  eBooks & eLearning

Posted by AlenMiler at Sept. 10, 2016
Deep Learning: Recurrent Neural Networks in Python

Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python) by LazyProgrammer
English | 8 Aug 2016 | ASIN: B01K31SQQA | 86 Pages | AZW3/MOBI/EPUB/PDF (conv) | 1.44 MB

Like Markov models, Recurrent Neural Networks are all about learning sequences - but whereas Markov Models are limited by the Markov assumption, Recurrent Neural Networks are not - and as a result, they are more expressive, and more powerful than anything we’ve seen on tasks that we haven’t made progress on in decades.

Skin Deep: An Inside Out Approach to Looking Good, Naturally  eBooks & eLearning

Posted by ksveta6 at June 13, 2016
Skin Deep: An Inside Out Approach to Looking Good, Naturally

Skin Deep: An Inside Out Approach to Looking Good, Naturally by Santhanam Aparna
2009 | ISBN: 9350290103 | English | 256 pages | EPUB | 0.6 MB

R Deep Learning Essentials  eBooks & eLearning

Posted by AlenMiler at April 25, 2016
R Deep Learning Essentials

R Deep Learning Essentials by Dr. Joshua F. Wiley
English | Mar. 30, 2016 | ISBN: 1785280589 | 170 Pages | AZW3/MOBI/EPUB/PDF (conv) | 10.04 MB

Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using model architectures.