Artificial Intelligence - Paperspace Blog

Image Captioning With AI

One application that has really caught the attention of many folks in the space of artificial intelligence is image captioning. If you think about it, there is seemingly no way

Generative Models

A 2020 Guide to Synthetic Media

Media synthesis is an exciting new area of research that has seen great advancements in the past few years. This field has the potential to completely revolutionize the way we

Machine Learning

Introduction to Bagging and Ensemble Methods

The bias-variance trade-off is a challenge we all face while training machine learning algorithms. Bagging is a powerful ensemble method which helps to reduce variance, and by extension, prevent overfitting.

Artificial Intelligence

Introducing The AI Wiki 🧠

We made the AI Wiki to keep the world of artificial intelligence a little less daunting. With easy-to-understand definitions and helpful graphics, the AI Wiki explains dozens of topics in AI, machine learning and deep learning, for beginners and practitioners alike.

Python

Cythonizing Genetic Algorithms: 18x Faster

In this tutorial we use Cython to reduce the execution time of the genetic algorithm implemented in Python. We've brought down our computational time from 1.46 seconds to a mere 0.08 seconds, so that 1 million generations run in less than 10 seconds with Cython, compared to 180 seconds in Python.

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