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Having had the privilege of compiling a wide range of articles exploring state-of-art machine and deep learning research in 2019 (you can find many of them here), I wanted to take a moment to highlight the ones that I found most interesting. I’ll also share links to their code implementations so that you can try your hands at them. Contrastive Representation Distillation This paper in the model di

Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We can think of semantic segmentation as image classification at a pixel level. For example, in an image that has many cars, segmentation will label all the objects as car objects. However, a separate clas

Artificial production of human speech is known as speech synthesis. This machine learning-based technique is applicable in text-to-speech, music generation, speech generation, speech-enabled devices, navigation systems, and accessibility for visually-impaired people. In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep lear

Building an image recognition React app using ONNX.js ONNX.js is a JavaScript library by Microsoft for running ONNX models on browsers and on Node.js. The Open Neural Network Exchange (ONNX) is an open standard for representing machine learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose combinations that are best for them. ONNX is develop

Home » Blog » Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices Editor’s note: This tutorial illustrates how to get started forecasting time series with LSTM models. Stock market data is a great choice for this because it’s quite regular and widely available to everyone. Please don’t take this as financial advice or use it to make any trades of your own. In this tutorial, w

Why data scientists should start learning Swift Swift for TensorFlow and the future of machine learning development. One week into my first year physics course at the University of Michigan, a professor assigned a problem set that required simulating some many-body system. It was due Friday. That was the week I learned my first programming language, Matlab. This is how I’ve picked up bits and piec

We are developing an AI that analyzes all the tools, apps, and websites under our supervision, and ranks the absolute best and most ethical. Check out our technical guides, reviews and tutorials to get started with machine learning.