September 11th, 2013

Even More MNIST

Category: Uncategorized
Fallback Featured Image

Since we've been fooling around with the MNIST data set quite a bit lately (Spence is using it in benchmarking), I've been following the leaderboard and methods for the ongoing Kaggle competition around the same data.  It's really amazing to see what people come up with. But of course, the purpose of H2O is entirely that one need not devote days on end to finding clever tricks with limited generalizability to other predictive problems. So while Spence benchmarks speed, I made short work of a submission that let  H2O do all of the heavy lifting, to get a sense of how we're doing on predictive power for real.  In the time it took me to grab take-out and  coffee H2O built a a model of 500 trees (on our server with 20g memory. It would take a bit longer on my computer with an allocation of less memory), generating a submission with less than 5% prediction error – all in all, not a bad lunch break.

Leave a Reply

New features in H2O 3.22

Xia Release (H2O 3.22) There's a new major release of H2O and it's packed with new

November 12, 2018 - by Jo-Fai Chow
Top 5 things you should know about H2O AI World London

We had a blast at H2O AI World London last week! With a record number

November 6, 2018 - by Bruna Smith
Fallback Featured Image
Anomaly Detection with Isolation Forests using H2O

Introduction Anomaly detection is a common data science problem where the goal is to identify odd

November 6, 2018 - by angela
Fallback Featured Image
Launching the Academic Program … OR … What Made My First Four Weeks at H2O.ai so Special!

We just launched the H2O.ai Academic Program at our sold-out H2O AI World London. With

October 30, 2018 - by Conrad
Welcome H2O.ai’s new Driverless AI Community!

I am very excited to announce the formation of the inaugural community for H2O Driverless

October 30, 2018 - by Rafael Coss
Fallback Featured Image
How This AI Tool Breathes New Life Into Data Science

Ask any data scientist in your workplace. Any Data Science Supervised Learning ML/AI project will

October 16, 2018 - by Saurabh Kumar

Join the AI Revolution

Subscribe, read the documentation, download or contact us.

Subscribe to the Newsletter

Start Your 21-Day Free Trial Today

Get It Now
Desktop img