tensor – Types and Ops for Symbolic numpy

Theano’s strength is in expressing symbolic calculations involving tensors. There are many types of symbolic expressions for tensors. They are grouped into the following sections:

• Basic Tensor Functionality
• nnet – Ops related to neural networks
• raw_random – Low-level random numbers
• shared_randomstreams – Friendly random numbers
• signal – Signal Processing
• tensor.utils – Tensor Utils
• tensor.elemwise – Tensor Elemwise
• tensor.extra_ops – Tensor Extra Ops
• tensor.io – Tensor IO Ops
• tensor.opt – Tensor Optimizations
• tensor.slinalg – Linear Algebra Ops Using Scipy
• tensor.nlinalg – Linear Algebra Ops Using Numpy