About: DiffSharp is an automatic differentiation (AD) library providing gradients, Hessians, Jacobians, directional derivatives, and matrix-free Hessian- and Jacobian-vector products. It allows exact and efficient calculation of derivatives, with support for nesting.Changes:
Improved: Overall performance improvements with parallelization and memory reshaping in OpenBLAS backend
Fixed: Bug fixes in reverse AD Make_DM_ofDV and DV.Append
Fixed: Bug fixes in DM operations map2Cols, map2Rows, mapi2Cols, mapi2Rows
Added: New operation primalDeep for the deepest primal value in nested AD values
About: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Dynamically generates CPU and GPU modules for good performance. Deep Learning Tutorials illustrate deep learning with Theano.Changes:
Theano 0.7 (26th of March, 2015)
We recommend to everyone to upgrade to this version.