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DiffSharp 0.7.7

by gbaydin - January 4, 2016, 00:57:35 CET [ ] 59035 views, 13472 downloads, 0 subscriptions

About: DiffSharp is a functional automatic differentiation (AD) library providing gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products as higher-order functions. It allows exact and efficient calculation of derivatives, with support for nesting.

Changes:

Fixed: Bug fix in forward AD implementation of Sigmoid and ReLU for D, DV, and DM (fixes #16, thank you @mrakgr)

Improvement: Performance improvement by removing several more Parallel.For and Array.Parallel.map operations, working better with OpenBLAS multithreading

Added: Operations involving incompatible dimensions of DV and DM will now throw exceptions for warning the user

Authors: Atilim Gunes Baydin, Barak Pearlmutter
License: Lgpl 3
Programming Language: Csharp, Fsharp

Operating System: Linux, Windows
Data Formats: Agnostic
Tags: Optimization, Automatic Differentiation, Symbolic Differentiation, Backpropagation, Numerical Differentiation

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DiffSharp 0.7.7