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Fully connected model - PowerPoint PPT Presentation

Lecture 5 Smaller Network: CNN

Lecture 5 Smaller Network: CNN. We know it is good to learn a small model. From this fully connected model, do we really need all the edges? Can some of these be shared?. Consider learning an image:. Some patterns are much smaller than the whole image.

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Viterbi Training

Viterbi Training. It is like Baum-Welsh. Instead of the As and Es , the most probable paths for the training sequences are derived using the Viterbi algorithm. Guaranteed to converge. Maximize. 1. Baum-Welsh Example:. Generating model. Estimated model from 300 rolls of dice.

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Lecture 5 Smaller Network: CNN

Viterbi Training