TensorFlow Useful Functions
Following are some mathematical functions that are useful for manupilating the tensor
- tensorflow.add(a, b)
- tensorflow.substract(a, b)
- tensorflow.multiply(a, b)
- tensorflow.div(a, b)
- tensorflow.pow(a, b)
- tensorflow.exp(a)
- tensorflow.sqrt(a)
import tensorflow as tf
x = tf.constant([2.0], dtype = tf.float32)
tensor_a = tf.constant([[1,2]], dtype = tf.int32)
tensor_b = tf.constant([[3, 4]], dtype = tf.int32)
#Sqaure Root
print(tf.sqrt(x))
#Exponential
print(tf.exp(x))
#Power
print(tf.pow(x,x))
#Add
tensor_add = tf.add(tensor_a, tensor_b)
print(tensor_add)
#Substarct
tensor_sub = tf.subtract(tensor_a, tensor_b)
print(tensor_sub)
#Multiply
tensor_mul = tf.multiply(tensor_a, tensor_b)
print(tensor_mul)
#Divide
tensor_div = tf.div(tensor_a, tensor_b)
print(tensor_div)
The above code, demonstartes the use of all the above mentioned TensorFlow function0.