Video Chapters for CSEP 546, Spring 2012, Lecture 7

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Chapter 1: Gradient Descent (Continued)Stream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 2: Gradient Descent vs. Perceptron TrainingStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 3: Stochastic Gradient DescentStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 4: Multilayer PerceptronsStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 5: BackpropagationStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 6: Issues in BackpropagationStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 7: Learning Hidden Layer RepresentationsStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 8: Expressiveness of Neural NetworksStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 9: Avoiding Overfitting in Neural NetworksStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 10: Model EnsemblesStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 11: BaggingStream, GetGetGet WMV, Get MP4 LaunchGetStart
Chapter 12: Boosting: The BasicsStream, GetGetGet WMV, Get MP4 LaunchGetStart