In [1]:

    

import keras.backend as K
import numpy as np


    

    




Using TensorFlow backend.

In [2]:

    

np.random.seed(42)

x = np.random.rand(3, 3)
y = np.random.rand(3, 2)


    

In [3]:

    

x_var = K.variable(value=x)
y_var = K.variable(value=y)


    

In [4]:

    

x_var


    

    
Out[4]:





<tf.Variable 'Variable:0' shape=(3, 3) dtype=float32_ref>

In [5]:

    

y_var


    

    
Out[5]:





<tf.Variable 'Variable_1:0' shape=(3, 2) dtype=float32_ref>

In [6]:

    

xy = K.dot(x_var, y_var)
matrix_product = K.eval(xy)


    

In [7]:

    

matrix_product


    

    
Out[7]:





array([[ 1.3427397 ,  0.93221962],
       [ 0.60834146,  0.17056336],
       [ 1.00888038,  0.83153522]], dtype=float32)

In [8]:

    

np.dot(x, y)


    

    
Out[8]:





array([[ 1.3427397 ,  0.93221962],
       [ 0.60834141,  0.17056335],
       [ 1.00888042,  0.8315353 ]])

In [ ]: