What is the tensor function in theano?

This recipe explains what is tensor function in theano.

Recipe Objective - What is a tensor function in theano?

Tensors are defined as multidimensional arrays, in the same way, that a matrix is a two-dimensional array. From this point of view, a matrix is certainly a special case of a tensor.

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Example -
Let's see how can we create matrices, scalars, vectors using the tensor function:

# Importing libraries
import theano
from theano import tensor

# Creating matrix using tensor
a = tensor.dmatrix('a')

# Creating vector using tensor
b = tensor.dvector('b')

# Creating scalar using tensor
c = tensor.dscalar('c')

# Creating two scalars in one line
d,e = tensor.dscalars('d','e')

In this way, we can use the tensor function to create matrices, scalars, and vectors in theano.

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