Quick Context: Neural Networks for Machine Learning 15 2 OPTIONAL Bayesian optimization of hyper parameters Lecture Number 10 of the Complete Machine Learning series by Nando de Freitas, Univeristy of British Columbia.
Exploring Optimeo Doe Bayesian Optimization Part 2 -
Neural Networks for Machine Learning 15 2 OPTIONAL Bayesian optimization of hyper parameters Lecture Number 10 of the Complete Machine Learning series by Nando de Freitas, Univeristy of British Columbia. This was presented by Kejia Shi at the Silicon Valley Big Data Science meetup on August 16, 2017.
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- Neural Networks for Machine Learning 15 2 OPTIONAL Bayesian optimization of hyper parameters
- Lecture Number 10 of the Complete Machine Learning series by Nando de Freitas, Univeristy of British Columbia.
- This was presented by Kejia Shi at the Silicon Valley Big Data Science meetup on August 16, 2017.
- Professor Ruth Misener is the BASF/RAEng Research Chair in Data-Driven
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