Cognitive Modeling

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Deep Networks<br />

Need many hidden layers to achieve many stages of<br />

transformations (dramatically re-representing the problem).<br />

But then the error signals are very remote & weak.<br />

Need to add constraints and self-organizing learning:

Progress Report II - Technische Universiteit Eindhoven

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Deep Networks Need many hidden layers to achieve many stages of transformations (dramatically re-representing the problem). But then the error signals are very remote & weak. Need to add constraints and self-organizing learning:

Example: Family Trees

Page 1 and 2: Cognitive Modeling 6. Combined Hebb
Page 3 and 4: Biology Says: Both
Page 5 and 6: Combining Error-driven + Hebbian Ge
Page 7 and 8: The Whole Enchilada
Page 9: Generalization • Distributed reps
Page 13 and 14: • How do we do it? • For exampl
Page 15 and 16: Representing Context for Sequence L
Page 17 and 18: An Example Task • BTXSE, BPVPSE,

Cognitive Modeling

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