mloss.org Theanohttp://mloss.orgUpdates and additions to TheanoenWed, 23 May 2018 16:34:31 -0000Theano 1.0.2http://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: </p> <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). </p> <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 labWed, 23 May 2018 16:34:31 -0000http://mloss.org/software/rss/comments/241http://mloss.org/software/view/241/pythoncudagpusymbolic differentiationnumpy