Generative Models Implementing CycleGAN for Age Conversion If you've been on any sort of social media this year, you've probably seen people uploading a recent picture of themselves right next to another picture of what they'll look
Advanced Technologies Group Move Quickly, Think Deeply: How Research Is Done @ Paperspace ATG The Advanced Technologies Group is an R&D-focused team here at Paperspace, comprising ML Engineers and Researchers. As a group, we're interested in exploring advanced topics in deep learning,
Deep Learning Going beyond torchvision models ResNets, DenseNets and Inception networks are undoubtedly some of the most powerful models out there for performing image classification and object recognition. These models have shown some promising results  in
CI/CD CI/CD for Machine Learning & AI The ecosystem for developing modern web applications is incredibly rich. There are countless tools for delivering a modern web app to production, monitoring it's performance, and deploying in real-time. These
Gradient What's new in Gradient? We've been hard at work developing Gradient° into a robust and scalable deep-learning platform. Here's a roundup of some of the things we've added recently: Product release notes can be
Computer Vision Facial Recognition Using Deep Learning Convolutional Neural Networks (CNN) and Feature Extraction Convolutional Neural Networks allow us to extract a wide range of features from images. Turns out, we can use this idea of feature extraction for face recognition too! That’s what we are going to explore in
