November 2019
Intermediate to advanced
296 pages
7h 52m
English
Content preview from Hands-On Machine Learning with TensorFlow.js
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Using TensorFlow with the Node.js backend
Node.js is the most popular server-side JavaScript platform and is widely used for creating web applications. Node.js uses V8 as a JavaScript runtime. It is also used by Chrome so that we can quickly run the existing code that's been written for web browsers. This indicates that once our application is written with TensorFlow.js, it can be run on the client side and the server side.
Node.js was initially designed to handle many network connections in a scalable manner by using event-driven I/O. Due to this concurrency model, Node.js is not the optimal choice when we're dealing with CPU-intensive workloads, such as machine learning. So why do we use Node.js as a backend for TensorFlow.js?
The Node.js ...
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