Sep 7, 2018Fast pix2pix in the BrowserIntroduction In this post we will make a pix2pix app that runs directly in the browser using Tensorflow.js. The app creates realistic images given a sketch. You can check the demo. If you are not familiar with Tensorflow.js then have a look at this tutorial. …Machine Learning5 min readMachine Learning5 min read
Aug 9, 2018Train, Test and Deploy ML models in the Browser using One NotebookIn 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. …Github3 min readGithub3 min read
Published in TensorFlow·Jul 2, 2018Train a model in tf.keras with Colab, and run it in the browser with TensorFlow.jsWe 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 Find the live…Machine Learning4 min readMachine Learning4 min read
Apr 10, 2018Sentiment Classification from Keras to the BrowserWe 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. …Machine Learning3 min readMachine Learning3 min read
Published in TensorFlow·Apr 3, 2018A Gentle Introduction to TensorFlow.jsTensorflow.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…Machine Learning8 min readMachine Learning8 min read
