Machine Learning Optimization Algorithms
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"practical bayesian optimization of machine learning algorithms" by jasper snoek, hugo larochelle, and ryan p.
The slides are available here. The design of good heuristics or approximation. I had many unsleep nights to get the point how most of popular deep learning optimization algorithms are working, compare those ones and what is t.
Lecture 3 continues our discussion of linear classifiers. Mathematical optimization is the selection of a best element (with regard to some criteria) from som. Https//wwwcsoxacuk/people/nandodefreitas/machinelearning/ course taught in 2015 at the university of oxford by nando de freitas wi.
Part of the endtoend machine learning school course library at http//e2emlschool see these concepts used in an end to project. We introduce the idea a loss function to quantify unhappiness with model’s predictions, an. Gradient descent and newton's method.
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