Build Your Own Neural Network with JavaScript

Build Your Own Neural Network with JavaScript

JavaScript equips you with everything you need to create your own neural network from the scratch. But, how to build your own neural network with javascript? Let's start!

It really does not have to be Python to get started with deep learning. JavaScript equips you with everything you need to create your own neural network from the scratch. The best thing and a clear advantage of using JavaScript is the fact that you can quickly embed your model into a running application — either served via web or in a mobile device via React Native. In this article I will show you how to create a web app for recognising hand written digits by training and implementing your own neural network. All you need is just plain JavaScript and a little bit of the library mathJS.

Whereas in my first article I demonstrated a proof-of-concept on how existing deep learning models (converted to Tensorflow.js) can be implemented so that they run locally and natively in a mobile device, in this article the focus will be really on creating a model from the scratch. I assume that you have basic to advanced understandings of how neural networks work — I will give a quick recap on concepts like backpropagation though and also include further helpful readings.

So let’s get started!

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