Deep Learning Elearning

Deep Learning with TensorFlow  eBooks & eLearning

Posted by naag at Jan. 15, 2017
Deep Learning with TensorFlow

Deep Learning with TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 430 MB
Genre: eLearning | Language: English

Deep Learning with TensorFlow  eBooks & eLearning

Posted by FenixN at Jan. 8, 2017
Deep Learning with TensorFlow

Deep Learning with TensorFlow
HDRips | MP4/AVC, ~536 kb/s | 1280x720 | Duration: 02:00:28 | English: AAC, 128 kb/s (2 ch) | 543 MB
Genre: Development / Programming

Channel the power of deep learning with Google's TensorFlow!

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.

An Introduction To Deep Learning & Computer Vision  eBooks & eLearning

Posted by naag at March 11, 2016
An Introduction To Deep Learning & Computer Vision

An Introduction To Deep Learning & Computer Vision
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 433 MB
Genre: eLearning | Language: English

This course will get you started on two of the hottest topics in Machine Learning

Deep Learning with Python  eBooks & eLearning

Posted by naag at March 4, 2016
Deep Learning with Python

Deep Learning with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 310 MB
Genre: eLearning | Language: English

Dive into the future of data science and implement intelligent systems using deep learning with Python

Data Science: Practical Deep Learning in Theano + TensorFlow  eBooks & eLearning

Posted by naag at Feb. 27, 2016
Data Science: Practical Deep Learning in Theano + TensorFlow

Data Science: Practical Deep Learning in Theano + TensorFlow
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1.5 Hours | 345 MB
Genre: eLearning | Language: English

Take deep learning to the next level with SGD, Nesterov momentum, RMSprop, Theano, TensorFlow, and using the GPU on AWS.
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.

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

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.