In deep learning models, the activation function refers to a function in an artificial neuron (node) that delivers an output based on inputs. Activation functions in artificial neurons (nodes) are an important part of the role that the artificial neurons (nodes) play in modern artificial neural networks. One of the most popular activation functions for regression tasks is the rectified linear unit, or RELU. Mathematically, the RELU is defined as: x20 a(x) ={ 0. x<0 Write a function called relu(x) that will perform the ReLU activation function on a given vector x. The function should return the output of the activation function. If X- 4:1:3, what is relu(X)?

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
icon
Related questions
Question
In deep learning models, the activation function refers to a function in an artificial neuron (node) that delivers an output based on inputs. Activation functions in artificial neurons (nodes) are an important part of the role that the artificial neurons (nodes) play in
modern artificial neural networks.
One of the most popular activation functions for regression tasks is the rectified linear unit, or ReLU. Mathematically, the ReLU is defined as:
х,
x >0
0,
x<0
Write a function called relu(x) that will perform the ReLU activation function on a given vector x. The function should return the output of the activation function.
If X = -4:1:3, what is relu(X)?
Transcribed Image Text:In deep learning models, the activation function refers to a function in an artificial neuron (node) that delivers an output based on inputs. Activation functions in artificial neurons (nodes) are an important part of the role that the artificial neurons (nodes) play in modern artificial neural networks. One of the most popular activation functions for regression tasks is the rectified linear unit, or ReLU. Mathematically, the ReLU is defined as: х, x >0 0, x<0 Write a function called relu(x) that will perform the ReLU activation function on a given vector x. The function should return the output of the activation function. If X = -4:1:3, what is relu(X)?
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Follow-up Questions
Read through expert solutions to related follow-up questions below.
Follow-up Question

can show the code in matlab

Solution
Bartleby Expert
SEE SOLUTION
Knowledge Booster
Temporal Difference Learning
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
Database System Concepts
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
C How to Program (8th Edition)
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
Database Systems: Design, Implementation, & Manag…
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education