In this tutorial we learn how to train, test and deploy machine learning models on the browser for free. Free GPU usage and free hosting. We will only work on a Google Colab notebook which enables you to train on a GPU for free. …

We will create a simple tool that recognizes drawings and outputs the names of the current drawing. This app will run directly on the browser without any installations. We will use Google Colab for training the model, and we will deploy it on the browser using TensorFlow.js.

Code and Demo

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We will create a classifier using Keras to differentiate between positive sentiments and negative sentiments for movies. Then we will load the model to the browser for user prediction.

The Code

I created a repository on GitHub with the code required to follow the tutorial. …

Tensorflow.js is a library built on deeplearn.js to create deep learning modules directly on the browser. Using that you can create CNNs, RNNs , etc … on the browser and train these modules using the client’s GPU processing power. Hence, a server GPU is not needed to train the NN…