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CS 152 NN—8:  Optimizers—Lookahead

CS 152 NN—8: Optimizers—Lookahead

Day

CS 152 NN—8:  Optimizers—Summary

CS 152 NN—8: Optimizers—Summary

Day

CS 152 NN—8:  Optimizers—Adam

CS 152 NN—8: Optimizers—Adam

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CS 152 NN—8:  Optimizers—Weight decay

CS 152 NN—8: Optimizers—Weight decay

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CS 152 NN—8:  Optimizers—SGD with Nesterov momentum

CS 152 NN—8: Optimizers—SGD with Nesterov momentum

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CS 152 NN—8:  Optimizers—SGD with momentum

CS 152 NN—8: Optimizers—SGD with momentum

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CS 152 NN—8:  Optimizers—Nesterov with momentum

CS 152 NN—8: Optimizers—Nesterov with momentum

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CS 152 NN—8:  Optimizers—Adagrad and RMSProp

CS 152 NN—8: Optimizers—Adagrad and RMSProp

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CS 152 NN—8:  Regularization—Label Smoothing

CS 152 NN—8: Regularization—Label Smoothing

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CS 152 NN—8:  Multi-label classification

CS 152 NN—8: Multi-label classification

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Optimizers - EXPLAINED!

Optimizers - EXPLAINED!

From Gradient Descent to Adam. Here are some

CS 152 NN—17:  Gradient Clipping

CS 152 NN—17: Gradient Clipping

Introduction ...

CS 152 NN—6:  Regularization—Ensembles

CS 152 NN—6: Regularization—Ensembles

Day 6 of Harvey Mudd College Neural Networks class.