machine learning libraries and tutorials

TensorFlow – Google’s latest machine learning system, open sourced for everyone
http://googleresearch.blogspot.co.uk/2015/11/tensorflow-googles-latest-machine_9.html

tensorflow
https://www.tensorflow.org/
https://www.tensorflow.org/versions/r0.7/tutorials/index.html
https://github.com/tensorflow/tensorflow

 

Torch
“Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation.”
http://torch.ch/

 

Theano
“Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features:”
http://deeplearning.net/software/theano/
http://deeplearning.net/software/theano/introduction.html
https://www.kaggle.com/c/facial-keypoints-detection/details/deep-learning-tutorial

lasagne
“Lasagne is a lightweight library to build and train neural networks in Theano.”
http://lasagne.readthedocs.org/en/latest/user/tutorial.html

Using convolutional neural nets to detect facial keypoints tutorial
http://danielnouri.org/notes/category/machine-learning/

Deep Learning Tutorials
http://deeplearning.net/tutorial/
http://deeplearning.net/tutorial/deeplearning.pdf

 

Encog Machine Learning Framework
http://www.heatonresearch.com/encog

 

Machine Learning Related Algorithms

 

K-Means Clustering Algorithm

 

Clustering 4: K-means algorithm
https://www.youtube.com/watch?v=_aWzGGNrcic
k-means clustering algorithm
https://sites.google.com/site/dataclusteringalgorithms/k-means-clustering-algorithm
K-means clustering is not a free lunch
http://varianceexplained.org/r/kmeans-free-lunch/
k-Means: Step-By-Step Example
http://mnemstudio.org/clustering-k-means-example-1.htm

 

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