We are incredibly excited by the explosion of new hardware accelerators. While the GPU is not going anywhere, the TPU is the first real competitor. Learn how to try out TPU on Gradient today!
ONNX is a powerful and open standard for preventing framework lock-in and ensuring that you the models you develop will be usable in the long run.
Gradient is a suite of tools designed to accelerate cloud AI and machine learning. It includes a powerful job runner, first-class support for containers and Jupyter notebooks, and a new set of language integrations.
By
Lindy
This year at HackMIT 2017 our team leveraged Paperspace's server infrastructure to build a machine learning model that accurately discerns between fake and legitimate news by comparing the given article or user phrase to known reputable and unreputable news sources. Check out how we did it below!
In this tutorial, take a deep dive on deep using conv nets for face recognition and identification.
Learn how to use neural style transfer to swap faces in images.
By
Felipe Ducau
In this article, we will first try to understand the basics of language models, what Recurrent Neural Networks are and how can we use them to solve the problem of language modeling.
By
Felipe Ducau
Learn how to build and run an adversarial autoencoder using PyTorch. Solve the problem of unsupervised learning in machine learning.
By
Felipe Ducau
Learn how deep neural networks can be used to generate new artworks through style transfer.
By
Arthur
