Category: Articles

For developers, the ability to run pre-trained models on mobile signifies an important shift towards edge computing. By being able to perform data processing straight from the user’s phone, private data remains in their hands, apps run more smoothly without having to wait for cellular networks, and your company’s cloud bill is significantly reduced.

Fast, responsive apps can now run complex machine learning models. This technological shift will usher in a new wave of app development by empowering product owners and engineers to think outside the box.

Continue reading “Intro to Machine Learning on Android — How to convert a custom model to TensorFlow Lite”

In this tutorial, we’ll build a Recurrent Neural Network (RNN) in PyTorch that will classify people’s names by their languages. We assume that the reader has a basic understanding of PyTorch and machine learning in Python.

Continue reading “Detecting the Language of a Person’s Name using a PyTorch RNN”

Lens Studio can gives one the ability to create some truly amazing augmented reality effects for Snapchat. I’ve found the performance and speed with which these lenses display to be very smooth, and this is due in part to the strict requirements that Snapchat has for the quality of submitted lenses.

However, this performance comes with a price. One of the most challenging things any lens creator faces is fitting everything into the 4mb of space that is allowed.

Continue reading “Tips and Tricks to Keep your Lens Within Lens Studio’s 4mb Limit”

This is the second part in a two-part series. I suggest you read the first part first. Interact with the app via the App link

The goal of the second part of this tutorial series is to deploy the machine learning wine quality prediction web application built in part 1—this time in the cloud.

Continue reading “Deploy a Machine Learning Model as a Web Application (Part 2)”

The joy derived from having artificial intelligence models in production can’t be quantified, especially when users start interacting with the technology. AI products are the end result of iterative processes throughout a larger data science lifecycle.

Continue reading “Deploy a Machine Learning Model as a Web Application (Part 1)”

Entity extraction can be useful when you want to add interactivity to your application based on the context of the text.

For example, if it’s a phone number you can prompt the user to make a call and if it’s an email address you can prompt the user to open the email app. This is achieved by first extracting various entities in the text. In this piece, let’s look at how that can be achieved using Google’s ML Kit.

Continue reading “Entity Extraction with ML Kit”

First things first—

In short, Visual Recognition helps us find meaning in visual content.
We can use Visual Recognition to develop smart applications that analyze the visual content of images or video frames to understand what is happening in a scene.

Continue reading “Visual Recognition in Android Using IBM Watson”