TensorFlow.js 是一个用于使用 JavaScript 进行机器学习开发的库
使用 JavaScript 开发机器学习模型，并直接在浏览器或 Node.js 中使用机器学习模型。
工作原理
运行现有模型
使用现成的 JavaScript 模型或转换 Python TensorFlow 模型以在浏览器中或 Node.js 下运行。
重新训练现有模型
使用您自己的数据重新训练现有的机器学习模型。
使用 JavaScript 开发机器学习模型
使用灵活且直观的 API 直接用 JavaScript 构建和训练模型。
演示
How Adobe used Web ML with TensorFlow.js to enhance Photoshop for web
Photoshop Web Beta is a browser-based version of the popular desktop image editing software, Adobe Photoshop. This online tool offers a wide range of features and capabilities for editing, enhancing, and manipulating images, all through a web
TensorFlow
2023年3月30日
Content moderation using machine learning: the server-side part
cd text - moderation / functions const functions = require ( 'firebase-functions' ); const toxicity = require ( '@tensorflow-models/toxicity' ); exports. moderator = functions. database. ref ( '/messages/{messageId}' ). onCreate ( async ( snapshot,
TensorFlow
2022年9月8日
JAX on the Web with TensorFlow.js
In this blog post we demonstrate how to convert and run Python-based JAX functions and Flax machine learning models in the browser using TensorFlow.js. We have produced three examples of JAX-to-TensorFlow.js conversion each with increasing
TensorFlow
2022年8月31日
Content moderation using machine learning: a dual approach
I've often wondered why anonymity drives people to say things that they'd never dare say in person, and it’s unfortunate that comment sections for videos and articles are so often toxic! If you’re interested in content moderation, you can use machine
TensorFlow
2022年8月19日
