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Key takeaways
- Arno Candel, described in the post as Physicist and Hacker at H2O, presented deep learning theory and practice at a repeat meetup session on March 26, 2014.
- The talk covered early results from using a multilayer perceptron with adaptive learning as implemented in H2O.
- The post said the talk applied the technique to recognizable datasets such as MNIST as well as industrial datasets.
If you were unable to join us on Thursday 3/21 because of the high volume of interest, we are offering the same meeting again!
In this talk, Arno Candel, Physicist & Hacker at H2O.ai will breakdown the basics of deep learning in theory & present implementation, early results from using MLP with Adaptive learning as implemented in H2O. Some recognizable datasets such as mnist and industrial datasets will find their solutions in this powerful modeling technique. In the tradition of Theano, Netflix and Google, this is one of the top parallel and distributed implementation of Deep Learning.
Expect spikes from both the artificial & natural neurons!!
Deep Learning: Theory and Practice!
Wednesday, Mar 26, 2014, 7:00 PM
0xdata Campus 1185 Terra Bella Ave Mountain View, CA
45 Makers Went