Daniel Smilkov

Deeplearn.js: A Hardware Accelerated Machine Intelligence Library for the Web

Ever wanted to run--or even train--neural networks in a browser? We'll present deeplearn.js, Google's new open-source javascript machine learning library. The talk will cover the technical magic that gives us GPU acceleration in the browser, as well as many applications ranging from education to on-device AI. We'll share our plans for the library and opportunities for collaboration.

Daniel is a Software Engineers in Google Brain, working on interpretability, visualization and democratization of machine learning. Some of his projects include the Graph visualizer and the Embedding Projector, which are part of TensorBoard, as well as new saliency techniques for neural networks. Recently they created deeplearn.js, a hardware accelerated browser-based machine learning library.

Buttontwitter Buttonlinkedin
This website uses cookies to ensure you get the best experience. Learn more