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.
There are also some top-level imports that you might find more convenient:
Alias for function.function()
Alias for shared.shared()
Alias for function.Param
Works like tensor.dot() for both sparse and dense matrix products
Function that allows replacing subgraphs of a computational graph. It returns a copy of the initial subgraph with the corresponding substitutions.
Parameters: |
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This function return a new variable whose gradient will be stored in a sparse format instead of dense.
Currently only variable created by AdvancedSubtensor1 is supported. i.e. a_tensor_var[an_int_vector].
New in version 0.6rc4.