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
• tensor.fft – Fast Fourier Transforms