Neural Network Programming with TensorFlow
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Matrix transpose

Transposition of the matrix is the mirror image of the matrix across the main diagonal. A symmetric matrix is any matrix that is equal to its own transpose:

The following example shows how to use a transpose operator on tensor objects:

import tensorflow as tf

x = [[1,2,3],[4,5,6]]
x = tf.convert_to_tensor(x)
xtrans = tf.transpose(x)

y=([[[1,2,3],[6,5,4]],[[4,5,6],[3,6,3]]])
y = tf.convert_to_tensor(y)
ytrans = tf.transpose(y, perm=[0, 2, 1])

with tf.Session() as sess:
print(sess.run(xtrans))
print(sess.run(ytrans))

The output of the listing is shown as follows:

[[1 4] [2 5] [3 6]]