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This full course from deeplizard introduces the concept of client-side artificial neural networks. You will learn how to deploy and run models along with full deep learning applications in the browser! This is done using TensorFlow.js (TFJS), TensorFlow’s JavaScript library.
Deeplizard的这门完整课程介绍了客户端人工神经网络的概念。 您将学习如何在浏览器中部署和运行模型以及完整的深度学习应用程序！ 这是使用TensorFlowJavaScript库TensorFlow.js(TFJS)完成的。
By the end of this video course, you will have built and deployed a web application that runs a neural network in the browser to classify images. You will learn about client-server deep learning architectures, converting Keras models to TFJS models, serving models with Node.js, tensor operations, and more!
在本视频课程结束之前，您将构建并部署一个Web应用程序，该应用程序在浏览器中运行神经网络以对图像进行分类。 您将了解客户端-服务器深度学习架构，将Keras模型转换为TFJS模型，使用Node.js服务模型，张量操作等等！
You can also watch the video on the (80 minute watch).
您也可以上观看视频(观看80分钟)。
翻译自:
转载地址：http://hfwzd.baihongyu.com/