What is tf arg max function

This recipe explains what is tf arg max function

Recipe Objective

What is tf.arg_max function?

This is achived by using the "math.argmax" function available in the tensorflow, it will return the index with the largest value across the dimension of a tensor. In case of tie the identity of return value is not guranteed.

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Step 1 - Import library

import tensorflow as tf

Step 2 - Take Sample data

Sample_data = [2,3,4,66,77,88,99,106,1000,1005,104,405] print("This is a Sample data:",Sample_data)

This is a Sample data: [2, 3, 4, 66, 77, 88, 99, 106, 1000, 1005, 104, 405]

Step 3 - Print Results

argmax = tf.math.argmax(input=Sample_data) eval = tf.keras.backend.eval(argmax) print("The index of max value in Sample data is:",argmax) print("The evaluation for argmax is:",eval)

The index of max value in Sample data is: tf.Tensor(9, shape=(), dtype=int64)
The evaluation for argmax is: 9

Here eval = 9 which is nothing but "Sample_data[9] = 1005" the largest value across the axis 0.

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