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README.md

SkyNet

SkyNet is an efficient and robust neural network training code for machine learning. It is able to train large and deep feed-forward neural networks, including autoencoders, for use in a wide range of supervised and unsupervised learning applications, such as regression, classification, density estimation, clustering and dimensionality reduction. SkyNet is implemented in C/C++ and fully parallelised using MPI. More details about SkyNet can be found in arXiv:1309.0790.

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SkyNet is an efficient and robust neural network training code for machine learning.

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