How to convert matrices to tensors with tensorflow

import tensorflow as tf creates a constant op that produces a 1x2 matrix that is used as a node.

to the default view.

The return value of the constructor represents the return value of that constant op.

matrix1 = , 3.]]

Create another constant op to produce a 2x1 matrix.

matrix2 = ,2.]]

Create a matrix multiplication matmul op with matrix1 and matrix2 as inputs:

product = , matrix2)

Let's dig a grave, I also had this question, and then I figured it out.

import tensorflow as tfa = [[1, 2], 3, 4]]

print(a)

b = , name="b")

print(b)

with as sess:

print(

A is the matrix, b is the tensor, and session() is used when entering content

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For example, for example, a 10*10 matrix assigns a value to a piece of data from the second column of the third row to the eighth column of the ninth row

a=rand(10,10);

a(3:9,2:8)=10

tensor_

There are two ways to get the dimension of a tensor.