Customize and deploy open source AI models, create your own digital assistants and business GPTs.
Open weight small vision-language models for OCR and Document AI
Assess the performance, reliability, safety, and effectiveness of RAG and LLM-based applications.
By H2O.ai Team | minute read | March 26, 2014
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!!
Wednesday, Mar 26, 2014, 7:00 PM
0xdata Campus
1185 Terra Bella Ave Mountain View, CA
45 Makers Went
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 recogniz…
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