Stochastic Learning

Posted in Science on October 06, 2008


Stochastic Learning

Lecture slides:

  • Stochastic Learning
  • Summary
  • Introduction
  • Expected Risk
  • Batch Gradient Descent.
  • Stochastic Gradient Descent.
  • Stochastic vs. Online
  • aStochastic/Online vs. Generalization.
  • More General.
  • Adaline
  • Multilayer network.
  • Non Differentiable Loss Functions.
  • Rosenblatt´s perceptron.
  • K-Means
  • aLearning Vector Quantization.
  • Stochastic Noise.
  • Speed Advantage.
  • Many examples:
  • Other approaches.

Author: Léon Bottou, Nec Research

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Tags: Science, Lectures, Computer Science, Machine Learning, VideoLectures.Net, Statistical Learning, Neural Networks