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# Swara Machine Learning
A machine learning framework built on [Apache Commons Math](http://commons.apache.org/proper/commons-math/).

## Recipes
### Neural Networks
- Tanh Layer
- Sigmoid Layer
- LSTM Layer
- Gated Layer
- Convolutional Layer
- Pooling Layer

### Markov Chains
- Discrete Markov Chain
- Continuous Markov Chain

### Support Vector Machines (SVM)

### Kernels
- Linear Kernel
- Polynomial Kernel
- Sigmoid Kernel
- Gaussian RBF Kernel

## Attribution
Here's a little page-rank karma for all the sources I used:
- [Recurrent Neural Networks](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/)
- [LSTM Neural Networks](http://colah.github.io/posts/2015-08-Understanding-LSTMs/)
- [Convolutional Neural Networks](http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/)
- [Support Vector Machines](https://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf)
- [Decision Trees](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/)<commit_msg>Modified swara-learn README<commit_after><script type="text/javascript" src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=default"></script>
# Swara Machine Learning
A machine learning framework built on [Apache Commons Math](http://commons.apache.org/proper/commons-math/).

## Recipes
### Neural Networks
- Tanh Layer
- Sigmoid Layer
- LSTM Layer
- Gated Layer
- Convolutional Layer
- Pooling Layer

### Markov Chains
- Discrete Markov Chain
- Continuous Markov Chain

### Support Vector Machines (SVM)

### Kernels
- Linear Kernel
- Polynomial Kernel
- Sigmoid Kernel
- Gaussian RBF Kernel

## Attribution
Here's a little page-rank karma for all the sources I used:
- [Recurrent Neural Networks](http://www.wildml.com/2015/09/recurrent-neural-networks-tutorial-part-1-introduction-to-rnns/)
- [LSTM Neural Networks](http://colah.github.io/posts/2015-08-Understanding-LSTMs/)
- [Convolutional Neural Networks](http://ufldl.stanford.edu/tutorial/supervised/ConvolutionalNeuralNetwork/)
- [Support Vector Machines](https://www.csie.ntu.edu.tw/~cjlin/papers/guide/guide.pdf)
- [Decision Trees](http://www.r2d3.us/visual-intro-to-machine-learning-part-1/)
- [Fast Learning Algorithms](https://page.mi.fu-berlin.de/rojas/neural/chapter/K8.pdf)
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