By
David
Articles
By
David
A Review of Popular Deep Learning Architectures: AlexNet, VGG16, and GoogleNet
Dive into a review of three foundational deep-learning architectures. Discover their key contributions, strengths, and how they paved the way for modern AI advancements.
By
Vihar Kurama
Featured
public
Announcement
Paperspace Joins NVIDIA DGX Program
With Gradient, our developer-first ML platform, the guiding methodology has always been: How can we make developing ML models as easy as building a modern web app? And what tools can we build to enable software developers from different domains to be successful in machine learning and deep learning?
By
David
5 years ago
🎁 Product Update: Code Diff View
The code viewer in Gradient experiments now includes a visual diff tool targeted at developers to better visualize code changes within experiments.
By
Dillon
Turning Noise Into Signal: Using AI to Gain Context for Scientific Research
Josh Nicholson is the Co-Founder and CEO of scite (www.scite.ai), which is using deep learning to analyze the entirety of the scientific literature to better measure the veracity of scientific work.
5 years ago
Geometric Deep Learning Library Comparison
This article covers an in-depth comparison of different geometric deep learning libraries, including PyTorch Geometric, Deep Graph Library, and Graph Nets.
By
David Dodel
