tensorflow.js (formerly known as deeplearn.js).
TensorFlow.js | Machine Learning for Javascript Developers
TensorFlow.js is an open source ML platform for Javascript and web development. Develop ML models in JavaScript, and use ML directly in the browser or in Node.js.
GitHub - tensorflow/tfjs: A WebGL accelerated JavaScript library for...
TensorFlow.js is an open-source hardware-accelerated JavaScript library for training and deploying machine learning models.
TensorFlow - YouTube
With TensorFlow.js you can run client side, server side, desktop native, mobile native, and even on IOT, enabling anyone, anywhere to use your creations. Come learn from their collective experiences...
Get to know TensorFlow.js in 7 minutes
Before going to TensorFlow.js, I would like to start off with TensorFlow. TensorFlow was developed in 2011 at Google as their propitiatory library for Machine learning/Deep learning applications at Google.
50 TensorFlow.js API Explained in 5 Minutes | Towards Data Science
In this article I really want to give a look at the TensorFlow.js APIs and understand the library as a whole and understand what are the amazing things it has to offer to the machine learning community.
Tensorflow.js Tutorial - Introduction to TensorFlow.js and Core...
TensorFlow.js, web version of Tensorflow, is an open-source library that we can use to define, train, and run machine learning models entirely in the browser, using Javascript and a high-level layers API.
Discover TensorFlow's flexible ecosystem of tools, libraries and community resources. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible...
TensorFlow - Wikipedia
TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. Tensorflow is a symbolic math library based on dataflow and differentiable programming.
TensorFlow (@TensorFlow) | Twitter
The latest Tweets from TensorFlow (@TensorFlow). TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production. Mountain View, CA.
TensorFlow.js Quick Start Tutorial
Get started with TensorFlow.js by building machine learning models in a JavaScript app 1324 words.
Python Programming Tutorials
Why TensorFlow.js over something like TensorFlow lite, which also can run on things like phones? What's so special about this? Being javascript, it runs anywhere, and there are no installs required.
Tensorflow.js Tutorial | Free Startup Kits
Tensorflow.js Setup Option 1 - Chrome's Browser Console. First, step in this Tensorflow.js tutorial include the libraryJavaScript file by pasting the following into the Javascript console.
Load Tensorflow js model from local file system in... - Stack Overflow
Tensorflow.js do not support an Api to read a previously model trained. const file= new Blob You be able to create an APi in Express.js for servering your model (model.json and weigths.bin) if you use a...
TensorFlow JavaScript: A community for users of TensorFlow.js, a machine learning library for the web browser, Node.js, and React Native.
Coding a deep learning model using TensorFlow.js - IBM Developer
In JavaScript, TensorFlow.js supports both programming styles with its low-level and high-level APIs. We introduce the key concepts in these two programming styles.
Getting started with TensorFlow.js - DEV Community
TensorFlow.js provides a wide variety of ops suitable for linear algebra and machine learning that Warning: Because TensorFlow.js uses the GPU to accelerate maths operations, it's necessary to...
Getting started. I used TensorFlow.js to build a simple classification model for browsers. Before I go into the details, I'll briefly introduce about TensorFlow and classification.