Skip to content

Courses
Tutorials
Practice
Contests

TypeScript
Vue.js
D3.js
Collect.js
Underscore.js
Moment.js
Ember.js
Tensorflow.js
Fabric.js
JS Formatter
JavaScript
Web Technology

Tensorflow.js tf.max() Function

Tensorflow.js tf.norm() Function

Last Updated : 12 May, 2021

Comments

Improve

Suggest changes

Like Article

Like

Report

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment.

The tf.norm() function is used compute the norm of matrices, vectors, and scalar. This function can also compute several other vector norms such as the 1-norm, the 2-norm or Euclidean, the inf-norm, and in general the p-norm for p > 0 and matrix norms.

Syntax:

tf.norm (x, ord?, axis?, keepDims?)

Parameters: This function accepts four parameters which is illustrated below:

x: The specifies the input array.
ord: This is optional. It specifies the order of the norm.
axis: This is optional. If axis is null, then the input is considered as a vector and a single vector norm is calculated over the whole set of values in the Tensor, i.e. norm(x, ord) is equivalent to norm(x.reshape([-1]), ord). Whereas if axis is an integer, then the input is inspected as a batch of vectors, and axis determines the x-axis over which vector norms is computed. If axis is a 2-tuple of integer it is considered as a batch of matrices and axis determines the axes in N-d array over which to compute a matrix norm.
keepDims: This is optional. If it is set to true, then the norm have the same dimension as the input.

Return Value: It returns tf.tensor.

Below are the examples that illustrates the use of tf.norm() function.

Example 1:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Initializing a tensor of some elements 
let Norm = tf.tensor1d([15, 14, 23, 52]); 
  
// Calling the .norm() function over 
// the above tensor as its parameter 
// and printing the result. 
Norm.norm().print();

Output:

Tensor      60.44832992553711

Example 2:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Initializing a tensor of some elements 
let Norm = tf.tensor1d([5, 4, 3, 2]); 
  
// Calling the .norm() function over 
// the above tensor as its parameter 
// and printing the result. 
tf.norm(Norm).print();

Output:

Tensor      7.348469257354736

Reference: https://js.tensorflow.org/api/latest/#norm

Tensorflow.js tf.max() Function

T

thacker_shahid

Improve

Article Tags :

JavaScript
Web Technologies
Tensorflow.js

Similar Reads

Tensorflow.js tf.max() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The tf.max() function is used to calculate the maximum value from the specified Tensor across its dimension. It reduces the given inpu

Tensorflow.js tf.neg() Function

Tensorflow.js is an open-source library which is being developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. The .neg() function is used to calculate -1 * x i.e. input tensor and is done element wise. Syntax: Â tf.neg(x)

Tensorflow.js tf.min() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The tf.min() function is used to calculate the minimum value from the specified Tensor across its dimension. It reduces the given inpu

Tensorflow.js tf.sum() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The tf.sum() function is used to calculate sum of the elements of a specified Tensor across its dimension. It reduces the given input

Tensorflow.js tf.sin() Function

Tensorflow.js is an open-source library that is being developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. The .sin() function is used to find the sin of the stated tensor input, and it is done element wise. Syntax : Â t

Tensorflow.js tf.tan() Function

Tensorflow.js is an open-source library that is being developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. The .tan() function is used to find the tangent of the stated tensor input and is done element wise. Syntax: tf.t

Tensorflow.js tf.log() Function

Tensorflow.js is an open-source library that is being developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment. The .log() function is used to find the natural logarithm of the stated tensor input i.e. ln(x) and is done eleme

Tensorflow.js tf.mod() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The tf.mod() function returns element-wise remainder of division. Operation: floor(x / y) * y + mod(x, y) = x. Note: It supports broad

Tensorflow.js tf.pow() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The tf.pow() function is used to compute the power of one specified tensor to another. It supports broadcasting. Syntax: tf.power(base

Tensorflow.js tf.tensor2d() Function

Tensorflow.js is an open-source library developed by Google for running machine learning models and deep learning neural networks in the browser or node environment. The .tensor2d() function is used to create a new 2-dimensional tensor with the parameter namely value, shape, and datatype. Syntax: tf

Corporate & Communications Address:

A-143, 7th Floor, Sovereign Corporate Tower, Sector- 136, Noida, Uttar Pradesh (201305)

Registered Address:

K 061, Tower K, Gulshan Vivante Apartment, Sector 137, Noida, Gautam Buddh Nagar, Uttar Pradesh, 201305

Advertise with us

Company
About Us
Legal
Privacy Policy
In Media
Contact Us
Advertise with us
GFG Corporate Solution
Placement Training Program

Languages
Python
Java
C++
PHP
GoLang
SQL
R Language
Android Tutorial
Tutorials Archive

DSA
Data Structures
Algorithms
DSA for Beginners
Basic DSA Problems
DSA Roadmap
Top 100 DSA Interview Problems
DSA Roadmap by Sandeep Jain
All Cheat Sheets

Data Science & ML
Data Science With Python
Data Science For Beginner
Machine Learning
ML Maths
Data Visualisation
Pandas
NumPy
NLP
Deep Learning

Web Technologies
HTML
CSS
JavaScript
TypeScript
ReactJS
NextJS
Bootstrap
Web Design

Python Tutorial
Python Programming Examples
Python Projects
Python Tkinter
Python Web Scraping
OpenCV Tutorial
Python Interview Question
Django

Computer Science
Operating Systems
Computer Network
Database Management System
Software Engineering
Digital Logic Design
Engineering Maths
Software Development
Software Testing

DevOps
Git
Linux
AWS
Docker
Kubernetes
Azure
GCP
DevOps Roadmap

System Design
High Level Design
Low Level Design
UML Diagrams
Interview Guide
Design Patterns
OOAD
System Design Bootcamp
Interview Questions

Inteview Preparation
Competitive Programming
Top DS or Algo for CP
Company-Wise Recruitment Process
Company-Wise Preparation
Aptitude Preparation
Puzzles

School Subjects
Mathematics
Physics
Chemistry
Biology
Social Science
English Grammar
Commerce
World GK

GeeksforGeeks Videos
DSA
Python
Java
C++
Web Development
Data Science
CS Subjects

@GeeksforGeeks, Sanchhaya Education Private Limited, All rights reserved

We use cookies to ensure you have the best browsing experience on our website. By using our site, you acknowledge that you have read and understood our Cookie Policy & Privacy Policy

Improvement

Suggest Changes

Help us improve. Share your suggestions to enhance the article. Contribute your expertise and make a difference in the GeeksforGeeks portal.

geeksforgeeks-suggest-icon

Create Improvement

Enhance the article with your expertise. Contribute to the GeeksforGeeks community and help create better learning resources for all.

geeksforgeeks-improvement-icon

Suggest Changes

min 4 words, max Words Limit:1000

Thank You!

Your suggestions are valuable to us.

What kind of Experience do you want to share?

Interview Experiences

Admission Experiences

Career Journeys

Work Experiences

Campus Experiences

Competitive Exam Experiences