tf.matmul(a,b...)

Multiplies matrix a by matrix b, producing a * b.

tf.multiply(x, y, name=None)

Returns x * y element-wise.

import numpy as np
import tensorflow as tf

A = np.array([[1,2,3],[4,5,6]],np.float32)
b = np.array([1,2,3],np.float32)

# tf.matmul和np.matmul功能一样
np.matmul(A,b)

array([ 14.,  32.], dtype=float32)

# tf.multiply和np.multiply功能一样
C = np.multiply(A,b)
C

array([[  1.,   4.,   9.],
       [  4.,  10.,  18.]], dtype=float32)

C_sigmoid = tf.sigmoid(C)
with tf.Session() as sess:
    print(sess.run(C_sigmoid))

[[ 0.7310586   0.98201376  0.99987662]
 [ 0.98201376  0.99995458  1.        ]]

1 / (1 + np.exp(-18))

0.9999999847700205