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Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ... Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two.

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  • Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two.
  • Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model ...
  • Full video list and slides: Errata: 5:50 - For this hack, you should also normalize the y-vector of ...
  • Take the Deep Learning Specialization: Check out all our courses: Subscribe to ...

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12: Regularization (79min)
Regularization Part 1: Ridge (L2) Regression
Lecture 12 - Regularization
Regularization in a Neural Network | Dealing with overfitting
L1 vs L2 Regularization
NN - 16 - L2 Regularization / Weight Decay (Theory + @PyTorch code)
Regularization Part 2: Lasso (L1) Regression
Dropout Regularization (C2W1L06)
Regularization in Deep Learning | How it solves Overfitting ?
Linear regression 5: Regularisation
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Review Key Notes
12: Regularization (79min)

12: Regularization (79min)

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

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 ...

Lecture 12 - Regularization

Lecture 12 - Regularization

Read more details and related context about Lecture 12 - Regularization.

Regularization in a Neural Network | Dealing with overfitting

Regularization in a Neural Network | Dealing with overfitting

We're back with another deep learning explained series videos. In this video, we will learn about

L1 vs L2 Regularization

L1 vs L2 Regularization

Read more details and related context about L1 vs L2 Regularization.

NN - 16 - L2 Regularization / Weight Decay (Theory + @PyTorch code)

NN - 16 - L2 Regularization / Weight Decay (Theory + @PyTorch code)

Read more details and related context about NN - 16 - L2 Regularization / Weight Decay (Theory + @PyTorch code).

Regularization Part 2: Lasso (L1) Regression

Regularization Part 2: Lasso (L1) Regression

Lasso Regression is super similar to Ridge Regression, but there is one big, huge difference between the two. In this video, I start ...

Dropout Regularization (C2W1L06)

Dropout Regularization (C2W1L06)

Take the Deep Learning Specialization: Check out all our courses: Subscribe to ...

Regularization in Deep Learning | How it solves Overfitting ?

Regularization in Deep Learning | How it solves Overfitting ?

Read more details and related context about Regularization in Deep Learning | How it solves Overfitting ?.

Linear regression 5: Regularisation

Linear regression 5: Regularisation

Full video list and slides: Errata: 5:50 - For this hack, you should also normalize the y-vector of ...