mloss.org Theanohttp://mloss.orgUpdates and additions to TheanoenMon, 10 Apr 2017 20:30:17 -0000Theano 0.9.0http://mloss.org/software/view/241/<html><p>Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features:
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<pre><code>* tight integration with numpy – Use numpy.ndarray in Theano-compiled functions.
* transparent use of a GPU – perform data-intensive computations much faster than on a CPU.
* symbolic differentiation – Let Theano do your derivatives.
* speed and stability optimizations – Get the right answer for log(1+x) even when x is really tiny.
* dynamic C code generation – Evaluate expressions faster.
* extensive unit-testing and self-verification – Detect and diagnose many types of mistake.
</code></pre><p>Theano has been powering large-scale computationally intensive scientific investigations since 2007. But it is also approachable enough to be used in the classroom (IFT6266 at the University of Montreal).
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<p>Theano has been used primarily to implement large-scale deep learning algorithms. To see how, see the Deep Learning Tutorials (http://www.deeplearning.net/tutorial/)
</p></html>mostly LISA labMon, 10 Apr 2017 20:30:17 -0000http://mloss.org/software/rss/comments/241http://mloss.org/software/view/241/pythoncudagpusymbolic differentiationnumpy