Deep learning with Node.js: deep learning on backend

When one talks about deep learning, it is almost unanimous that Python will be the second word that will come to your mind. Indeed, deep learning gained momentum with Python. Python is a desktop/backend language: it belongs to the same family of Java and C++. Like those language, they require frontend tools (e.g., Angular). Furthermore, they are not standards for creating servers.

Frontend is the browser, is what interacts with the user; backend is the kitchen, where the magic happens. However, this view has been challenged constantly. I am myself able to build a full application, with no backend; also, different from before, full stack developers are becoming more and more common. It is no longer a big problem.

Thanks for Engine V8, one can now make everything in JavaScript, back to frontend. Furthermore, thanks to TensorFlow.js, one can even make machine learning on frontend or backend. We are going to focus on node.js, as backend!

This is no longer true, maybe for people using old tools such as PHP.

To be continued!

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You may want to read also

1. Is JavaScript the Best Thing That Ever Happened to Deep Learning?

2. “We believe deep learning and JavaScript belong together”, me too!😍🤗

3. MEAN Stack vs. MANN stack

4. What are the Challenges that You Will Face When Using JavaScript Libraries in Angular

5. Meet My Project “TensorFlow.js in Angular”: Working on Angular-based Machine Learning Apps

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Reference

Deep Learning with JavaScript: Neural Networks in TensorFlow.js. Book by Eric D. Nielsen, Shanqing Cai, and Stanley M. Bileschi