Problem#5 The TensorFlow 'argmax' function returns the index of the maximum number. Suppose matrix 'a' is defined as follows: [5 2 31 a = 26 56 92 3 0 26 Compute the value of 'a1' and 'a2' using the following code: -‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒======= import tensorflow as tf al = tf.argmax (a, axis=0) a2 = tf.argmax (a, axis-1) ‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒ Answer: a1 = 1,1,1 a2 = 0,2,2
Problem#5 The TensorFlow 'argmax' function returns the index of the maximum number. Suppose matrix 'a' is defined as follows: [5 2 31 a = 26 56 92 3 0 26 Compute the value of 'a1' and 'a2' using the following code: -‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒======= import tensorflow as tf al = tf.argmax (a, axis=0) a2 = tf.argmax (a, axis-1) ‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒‒ Answer: a1 = 1,1,1 a2 = 0,2,2
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Please help step by step with explanation for tensorflow code with a final code for understanding thank you.
![Problem#5
The TensorFlow 'argmax' function returns the index of the maximum number. Suppose matrix
'a' is defined as follows:
[5 2 3
a = 26 56 92
3 0 26]
Compute the value of 'a1' and 'a2' using the following code:
====================================
import tensorflow as tf
al = tf.argmax (a, axis-0)
a2 = tf.argmax (a, axis=1)
===================================
Answer:
a1 = 1,1,1
a2 = 0,2,2](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F75d451d4-8631-47c4-96fa-d3dc34739cc7%2F3e68fd54-6de0-46a2-9bcf-e81f8fe962d1%2Floncrzu_processed.png&w=3840&q=75)
Transcribed Image Text:Problem#5
The TensorFlow 'argmax' function returns the index of the maximum number. Suppose matrix
'a' is defined as follows:
[5 2 3
a = 26 56 92
3 0 26]
Compute the value of 'a1' and 'a2' using the following code:
====================================
import tensorflow as tf
al = tf.argmax (a, axis-0)
a2 = tf.argmax (a, axis=1)
===================================
Answer:
a1 = 1,1,1
a2 = 0,2,2
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