Software Alternatives, Accelerators & Startups
Register | Login

TFlearn VS ML5.js

Compare TFlearn VS ML5.js and see what are their differences

Momen
Build powerful web apps, and create your custom AI apps, no code needed! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

TFlearn logo TFlearn

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

ML5.js logo ML5.js

Friendly machine learning for the web
Not present
  • ML5.js Landing page
    Landing page //
    2021-10-12

TFlearn videos

+ Add

Face Recognition using Deep Learning | Convolutional-Neural-Network | TensorFlow | TfLearn

ML5.js videos

+ Add

ml5.js: Train Your Own Neural Network

More videos:

  • Review - ml5.js: Image Classification with MobileNet
  • Review - Image classification to gif with ML5.js | Vue.js Virtual Meetup

Category Popularity

0-100% (relative to TFlearn and ML5.js)

TFlearn

ML5.js

OCR
100 100%
OCR
0% 0
AI
0 0%
AI
100% 100
Data Science And Machine Learning
36 36%
Data Science And Machine Learning
64% 64
Developer Tools
0 0%
Developer Tools
100% 100

User comments

Share your experience with using TFlearn and ML5.js. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, ML5.js should be more popular than TFlearn. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TFlearn mentions (2)

  • Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)
    TFLearn – Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 2 years ago
  • Base ball
    Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / about 3 years ago

ML5.js mentions (9)

  • Riffr - Create Photo Montages in the Browser with some ML Magic✨
    Important APIs - ml5 for in-browser detection, face-api that uses tensorflow-node to accelerate on-server detection. VueUse for a bunch of useful component tools like the QR Code generator. Yahoo's Gifshot for creating gif files in-browser etc. - Source: dev.to / over 1 year ago
  • Brain.js: GPU Accelerated Neural Networks in JavaScript
    See also: https://ml5js.org/ "The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.". - Source: Hacker News / almost 2 years ago
  • [Showoff Saturday] I made a captcha prototype that requires a banana
    I used ml5js.org , p5js.org and https://teachablemachine.withgoogle.com to train the Banana images. When you create a new image project on Teachable Machine, you can output the p5js and basically use it right out of the box - I customized js, css, and html from there. Source: over 2 years ago
  • My First 30 Days of 100 Days of Code.
    Going forward: I'll be 100% into JavaScript. You can use JavaScript in so many fields nowadays. Websites React, Mobile Apps React Native, Machine Learning TensorFlow & ML5, Desktop Applications Electron, and of course the backend Node as well. It's kind of a no-brainer. Of course, they all have specific languages that are better, but for now, JavaScript is a bit of a catch-all. - Source: dev.to / over 2 years ago
  • [D] Are you using PyTorch or TensorFlow going into 2022?
    From other comments, a lot of JavaScript developers who want to use TensorFlow had never heard of TensorFlow.js or ml5.js! Source: over 2 years ago
View more

What are some alternatives?

When comparing TFlearn and ML5.js, you can also consider the following products

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Clarifai - The World's AI

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Lobe - Visual tool for building custom deep learning models

Loading...