python-tensorflowHow do I perform matrix multiplication using Python and TensorFlow?

Matrix multiplication can be performed using Python and TensorFlow using the tf.matmul function. This function takes two matrices as arguments and performs the multiplication operation.

For example:

import tensorflow as tf

# create two matrices
matrix1 = tf.constant([[1,2], [3,4]])
matrix2 = tf.constant([[5,6], [7,8]])

# perform matrix multiplication
matrix_multiply = tf.matmul(matrix1, matrix2)

# print result
with tf.Session() as sess:
    result = sess.run(matrix_multiply)
    print(result)

Output example

[[19 22]
 [43 50]]

The code above:

• Imports the TensorFlow library (import tensorflow as tf)
• Creates two matrices (matrix1 and matrix2)
• Performs the matrix multiplication operation using the tf.matmul function (matrix_multiply = tf.matmul(matrix1, matrix2))
• Prints the result of the operation (result = sess.run(matrix_multiply) and print(result))

Helpful links

• TensorFlow Documentation: tf.matmul

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