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 1.0.2 (23rd of May, 2018)
This is a maintenance release of Theano, version 1.0.2
, with no
new features, but some important bug fixes.
We recommend that everybody update to this version.
Highlights (since 1.0.1):
-
Theano should work under PyPy now (this is experimental).
-
Update for cuDNN 7.1 RNN API changes.
-
Fix for a crash related to mixed dtypes with cuDNN convolutions.
-
MAGMA should work in more cases without manual config.
-
Handle reductions with non-default accumulator dtype better on the GPU.
-
Improvements to the test suite so that it fails less often due to
random chance.
A total of 6 people contributed to this release since 1.0.1
:
-
Frederic Bastien
-
Steven Bocco
-
Jon Haygood
-
Arnaud Bergeron
-
Jordan Melendez
-
Desiree Vogt-Lee
-
Garming Sam
-
Pascal Lamblin
-
Vincent Dumoulin
-
Glexin
-
Simon Lefrancois