A parallel Fortran framework for neural networks and deep learning

18 Feb 2019Milan Curcic

This paper describes neural-fortran, a parallel Fortran framework for neural networks and deep learning. It features a simple interface to construct feed-forward neural networks of arbitrary structure and size, several activation functions, and stochastic gradient descent as the default optimization algorithm... (read more)

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