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Discussion About Theano?

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What is Theano?

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Theano features:

Features

  • 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.
  • Efficient symbolic differentiation – Theano does your derivatives for functions with one or many inputs.
  • 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 errors.

Benefits for mathematical expressions

  • Use of GPU for computations
  • Constant folding
  • Merging of similar subgraphs, to avoid redundant calculation
  • Arithmetic simplification (e.g. x*y/x -> y, --x -> x)
  • Inserting efficient BLAS operations (e.g. GEMM) in a variety of contexts
  • Using memory aliasing to avoid calculation
  • Using inplace operations wherever it does not interfere with aliasing
  • Loop fusion for elementwise sub-expressions
  • Improvements to numerical stability (e.g.  \log(1+\exp(x)) and \log(\sum_i \exp(x[i])))

Video for Theano

posted Mar 21 by Sandeep Bedi

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Scikit-learn (formerly scikits.learn) is a free software machine learning library for the Python programming language.[3] It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy.

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Accessibility – Plone is accessible and complies to WAI-AA standard and the U.S. Government Section 508. Since public institutions are legally obliged to offering barrier-free websites, Plone can perfectly assist on these efforts – including a barrier-free UI for editors as well.

 

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