Python - tensorflow.math.subtract() Last Updated : 16 Jun, 2020 Comments Improve Suggest changes Like Article Like Report TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks. subtract() is used to compute element wise (x-y). Syntax: tensorflow.math.subtract(x, y, name) Parameters: x: It's a tensor. Allowed dtypes are bfloat16, half, float32, float64, complex64, complex128.y: It's a tensor of same dtype as x.name(optional): It defines the name for the operation. Returns: It returns a tensor. Example 1: Python3 # importing the library import tensorflow as tf # Initializing the input tensor a = tf.constant([ -5, -7, 2, 5, 7], dtype = tf.float64) b = tf.constant([ 1, 3, 9, 4, 7], dtype = tf.float64) # Printing the input tensor print('a: ', a) print('b: ', b) # Calculating result res = tf.math.subtract(a, b) # Printing the result print('Result: ', res) Output: a: tf.Tensor([-5. -7. 2. 5. 7.], shape=(5, ), dtype=float64) b: tf.Tensor([1. 3. 9. 4. 7.], shape=(5, ), dtype=float64) Result: tf.Tensor([ -6. -10. -7. 1. 0.], shape=(5, ), dtype=float64) Example 2: Taking complex input Python3 # importing the library import tensorflow as tf # Initializing the input tensor a = tf.constant([ -5 + 3j, -7-2j, 2 + 1j, 5-7j, 7 + 3j], dtype = tf.complex128) b = tf.constant([ 1 + 5j, 3 + 1j, 9-5j, 4 + 3j, 7-6j], dtype = tf.complex128) # Printing the input tensor print('a: ', a) print('b: ', b) # Calculating result res = tf.math.subtract(a, b) # Printing the result print('Result: ', res) Output: a: tf.Tensor([-5.+3.j -7.-2.j 2.+1.j 5.-7.j 7.+3.j], shape=(5, ), dtype=complex128) b: tf.Tensor([1.+5.j 3.+1.j 9.-5.j 4.+3.j 7.-6.j], shape=(5, ), dtype=complex128) Result: tf.Tensor([ -6. -2.j -10. -3.j -7. +6.j 1.-10.j 0. +9.j], shape=(5, ), dtype=complex128) Comment More infoAdvertise with us Next Article Introduction to Machine Learning A aman neekhara Follow Improve Article Tags : Machine Learning AI-ML-DS With Python Practice Tags : Machine Learning Similar Reads Machine Learning Tutorial Machine learning is a branch of Artificial Intelligence that focuses on developing models and algorithms that let computers learn from data without being explicitly programmed for every task. 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