What is tf arg min function

This recipe explains what is tf arg min function

Recipe Objective

What is tf.arg_min function?

This function is achived by using "math.argmin" available in tensorflow. In this it will return the index with the smallest values across the dimensions of a tensor, if there is a case of tie then the identity of return value is not guaranteed.

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Step 1 - Import library

import tensorflow as tf

Step 2 - Take Sample data

Sample_data = [2,3,55,66,77,166.8,177,455,677,108] print("This is the Sample data:",Sample_data)

This is the Sample data: [2, 3, 55, 66, 77, 166.8, 177, 455, 677, 108]

Step 3 - Print results

argmin = tf.math.argmin(input=Sample_data) eval = tf.keras.backend.eval(argmin) print("The result for argmin is:",argmin) print("The result for backend eval of argmin is:",eval)

The result for argmin is: tf.Tensor(0, shape=(), dtype=int64)
The result for backend eval of argmin is: 0

Here eval is "0" and also "Sample_data[0] = 2" which is nothing but the samllest element of a across axis 0.

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