Library Documentation

This documentation covers Theano module-wise. This is suited to finding the Types and Ops that you can use to build and compile expression graphs.

• tensor – Types and Ops for Symbolic numpy
• gradient – Symbolic Differentiation
• config – Theano Configuration
• printing – Graph Printing and Symbolic Print Statement
• compile – Transforming Expression Graphs to Functions
• sparse – Symbolic Sparse Matrices [doc TODO]
• sparse – Sparse Op
• sparse.sandbox – Sparse Op Sandbox
• scalar – Symbolic Scalar Types, Ops [doc TODO]
• gof – Theano Internals [doc TODO]
• scan – Looping in Theano
• sandbox – Experimental Code

There are also some top-level imports that you might find more convenient:

Platforms: Unix, Windows

theano.function(...)

Alias for function.function()

theano.shared(...)

Alias for shared.shared()

class theano.Param

Alias for function.Param

theano.dot(x, y)

Works like tensor.dot() for both sparse and dense matrix products