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  • Writer's pictureJorge Guerra Pires

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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Reference

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

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