Media Summary: Day 6 of Harvey Mudd College Neural Networks class. Machine Learning From Data, Rensselaer Fall 2020. Professor Malik Magdon-Ismail talks about Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ...

Cs 152 Nn 12 Regularization - Detailed Analysis & Overview

Day 6 of Harvey Mudd College Neural Networks class. Machine Learning From Data, Rensselaer Fall 2020. Professor Malik Magdon-Ismail talks about Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... In this video, we talk about the L1 and L2 Day 8 of Harvey Mudd College Neural Networks class.

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CS 152 NN—12:  Regularization: Batch Normalization
CS 152 NN—12:  Regularization: Dropout
CS 152 NN—6:  Regularization
12-a LFD: Noise and regularization in a nutshell: constrain the model.
CS 152 NN—6:  Regularization—Adjust Loss Function
CS 152 NN—6:  Regularization—Early stopping
CS 152 NN—6:  Regularization—Mixup
CS 152 NN—6:  Regularization—Ensembles
CS 152 NN—6:  Regularization—Smaller batches
Lecture 12 - Regularization
Regularization Part 1: Ridge (L2) Regression
L1 vs L2 Regularization
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CS 152 NN—12:  Regularization: Batch Normalization

CS 152 NN—12: Regularization: Batch Normalization

Day

CS 152 NN—12:  Regularization: Dropout

CS 152 NN—12: Regularization: Dropout

Day

CS 152 NN—6:  Regularization

CS 152 NN—6: Regularization

Day 6 of Harvey Mudd College Neural Networks class.

12-a LFD: Noise and regularization in a nutshell: constrain the model.

12-a LFD: Noise and regularization in a nutshell: constrain the model.

Machine Learning From Data, Rensselaer Fall 2020. Professor Malik Magdon-Ismail talks about

CS 152 NN—6:  Regularization—Adjust Loss Function

CS 152 NN—6: Regularization—Adjust Loss Function

Day 6 of Harvey Mudd College Neural Networks class.

CS 152 NN—6:  Regularization—Early stopping

CS 152 NN—6: Regularization—Early stopping

Day 6 of Harvey Mudd College Neural Networks class.

CS 152 NN—6:  Regularization—Mixup

CS 152 NN—6: Regularization—Mixup

Day 6 of Harvey Mudd College Neural Networks class.

CS 152 NN—6:  Regularization—Ensembles

CS 152 NN—6: Regularization—Ensembles

Day 6 of Harvey Mudd College Neural Networks class.

CS 152 NN—6:  Regularization—Smaller batches

CS 152 NN—6: Regularization—Smaller batches

Day 6 of Harvey Mudd College Neural Networks class.

Lecture 12 - Regularization

Lecture 12 - Regularization

Regularization

Regularization Part 1: Ridge (L2) Regression

Regularization Part 1: Ridge (L2) Regression

Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ...

L1 vs L2 Regularization

L1 vs L2 Regularization

In this video, we talk about the L1 and L2

CS 152 NN—8:  Regularization—Label Smoothing

CS 152 NN—8: Regularization—Label Smoothing

Day 8 of Harvey Mudd College Neural Networks class.