Hi,

TensorFlow supports multi-dimensional matrix and it can easily perform various operations on the matrix. In the following example we are defining a multi-dimensional matrix as placeholder and then using it for multiplication.

Here is simple example code:

#Multi dimentional matrix example
import tensorflow as tf
x = tf.placeholder("float", [None, 3])
y = x * 2
sess = tf.Session()
model = tf.global_variables_initializer()
x_data = [[10, 15, 24], [59, 70, 40],]
result = sess.run(y, feed_dict={x: x_data})
print(result)

Above program displays following details when executed:

C:\Users\Dell>python
Python 3.5.2 (v3.5.2:4def2a2901a5, Jun 25 2016, 22:18:55) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>> import tensorflow as tf
>>>
>>> x = tf.placeholder("float", [None, 3])
>>> y = x * 2
>>>
>>> sess = tf.Session()
>>> model = tf.global_variables_initializer()
>>>
>>> x_data = [[10, 15, 24], [59, 70, 40],]
>>>
>>> result = sess.run(y, feed_dict={x: x_data})
>>> print(result)
[[  20.   30.   48.]
 [ 118.  140.   80.]]
>>>
>>>
>>>

Thanks

Hi,

You can learn TensorFlow at following urls:

• TensorFlow Tutorials
• What is TensorFlow?
• Why TensorFlow is called TensorFlow?
• Installing TensorFlow on Windows 10
• Hello World Program in TensorFlow

Learn TensorFlow with above tutorials.

Thanks