Web Development

TensorFlow.js is a deep learning library providing you with the power to train and deploy your favorite deep learning models in the browser and Node.js. It doesn't matter if you are a Javascript developer with no Machine Learning experience whatsoever or an ML developer searching for a new opportunity to use his/her knowledge inside the browser; Tensorflow.js can provide you with huge benefits. This is because Tensorflow.js provides us with both a simple high-level API called layers API, which is very similar to the Keras deep learning framework and can be used to create new models, as well as a low-level API — the Core API (previously deeplearn.js) — which lets you implement a lot of custom functionality. ...

Streamlit is an open-source Python framework that allows you to create beautiful interactive websites for Machine Learning and Data Science projects without needing to have any web development skills. It achieves this by allowing you to create a website by only adding a few Streamlit function calls to existing python projects/experiments. For more information, check out my first article on Streamlit, which walks you through how it works. In this article, I want to show you how to deploy a Streamlit application with Heroku, a platform as a service (PaaS) allowing you to run applications written in multiple different programming languages – including Python and Ruby – on the cloud. ...

Showcasing the findings of your data science/machine learning experiment can be difficult. While in the past, a PowerPoint presentation or a LaTeX file used to be enough for showcasing your project, with today's popularity of websites, it is a good idea to know how to create a website for your project. This is where Streamlit comes in. Streamlit is an open-source Python framework that allows you to create beautiful interactive websites for Machine Learning and Data Science projects without needing to have any web development skills. ...