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AssemblyAI
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 regularization. Regularization is ...

11:40
Regularization in a Neural Network | Dealing with overfitting

106,035 views

4 years ago

Learn With Jay
Regularization in Deep Learning | How it solves Overfitting ?

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

4:30
Regularization in Deep Learning | How it solves Overfitting ?

69,665 views

4 years ago

StatQuest with Josh Starmer
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 ...

20:27
Regularization Part 1: Ridge (L2) Regression

1,314,170 views

7 years ago

DataMListic
L1 vs L2 Regularization

In this video, we talk about the L1 and L2 regularization, two techniques that help prevent overfitting, and explore the differences ...

4:04
L1 vs L2 Regularization

27,120 views

1 year ago

DeepLearningAI
Why Regularization Reduces Overfitting (C2W1L05)

Take the Deep Learning Specialization: http://bit.ly/2PGCWHg Check out all our courses: https://www.deeplearning.ai Subscribe ...

7:10
Why Regularization Reduces Overfitting (C2W1L05)

104,183 views

8 years ago

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

In this video we will look into the L2 regularization, also known as weight decay, understand how it works, the intuition behind it, ...

7:10
NN - 16 - L2 Regularization / Weight Decay (Theory + @PyTorch code)

9,852 views

2 years ago

deeplizard
Regularization in a Neural Network explained

In this video, we explain the concept of regularization in an artificial neural network and also show how to specify regularization in ...

5:55
Regularization in a Neural Network explained

91,207 views

8 years ago

Stanford Online
Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization

For more information about Stanford's online Artificial Intelligence programs visit: https://stanford.io/ai This lecture covers: 1.

1:08:39
Stanford CS231N | Spring 2025 | Lecture 3: Regularization and Optimization

31,187 views

3 months ago

ByteQuest
Regularization | L1 & L2 | Dropout | Data Augmentation | Early Stopping |  Deep Learning Part 4

In this video, we dive into Regularization — the set of methods we use to deal with overfitting while training a Machine Learning ...

13:54
Regularization | L1 & L2 | Dropout | Data Augmentation | Early Stopping | Deep Learning Part 4

622 views

2 months ago

CampusX
Regularization in Deep Learning | L2 Regularization in ANN | L1 Regularization | Weight Decay in ANN

Regularization is a set of techniques that can prevent overfitting in neural networks and thus improve the accuracy of a Deep ...

35:57
Regularization in Deep Learning | L2 Regularization in ANN | L1 Regularization | Weight Decay in ANN

96,723 views

3 years ago

codebasics
Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression

In this Python machine learning tutorial for beginners, we will look into, 1) What is overfitting, underfitting 2) How to address ...

19:21
Machine Learning Tutorial Python - 17: L1 and L2 Regularization | Lasso, Ridge Regression

365,186 views

5 years ago

DataMListic
Dropout in Neural Networks - Explained

In this video, we dive into dropout, a popular regularization technique in deep learning that helps prevent overfitting by randomly ...

3:59
Dropout in Neural Networks - Explained

3,388 views

10 months ago

Machine Learning TV
Deep Neural Network Regularization - Part 1

If you suspect your neural network is over fitting your data. That is you have a high variance problem, one of the first things you ...

9:43
Deep Neural Network Regularization - Part 1

2,285 views

7 years ago

Tübingen Machine Learning
Deep Learning - Lecture 5.2 (Regularization: Early Stopping)

Lecture: Deep Learning (Prof. Andreas Geiger, University of Tübingen) Course Website with Slides, Lecture Notes, Problems and ...

9:25
Deep Learning - Lecture 5.2 (Regularization: Early Stopping)

3,652 views

5 years ago

CodeEmporium
Regularization - Explained!

... Deep Learning Specialization: https://imp.i384100.net/Deep-Learning Python for Everybody: https://imp.i384100.net/python ...

12:44
Regularization - Explained!

21,569 views

3 years ago

DeepLearningAI
Dropout Regularization (C2W1L06)

Take the Deep Learning Specialization: http://bit.ly/2x5Z9YT Check out all our courses: https://www.deeplearning.ai Subscribe to ...

9:26
Dropout Regularization (C2W1L06)

113,995 views

8 years ago

Underfitted
Early Stopping. The Most Popular Regularization Technique In Machine Learning.

Train a model for too long, and it will stop generalizing appropriately. Don't train it long enough, and it won't learn. That's a critical ...

6:29
Early Stopping. The Most Popular Regularization Technique In Machine Learning.

20,939 views

3 years ago

Udacity
Regularization

... Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part ...

2:21
Regularization

29,832 views

10 years ago