Regularization

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Regularization!

Analytics Vidhya

This blogpost will help you to understand why regularization is important in training the Machine Learning models, and also why it is most talked about topic in ML domain. So, lets look at this plot…

Regularization — Part 1

Towards Data Science

We discuss the problems of over- and underfitting. Both can be explained using the Bias-Variance Trade-off, a fundamental principle in deep learning.

Regularization — Part 2

Towards Data Science

In this blog, we describe classical techniques such as early stopping and L1 and L2 weight regularization.

Regularization — Part 5

Towards Data Science

This lecture introduces the topic of multi-task learning and the hard and soft variants. We also show several examples.

Regularization — Part 4

Towards Data Science

In this blog post, we discuss ideas for initialisation of weights for fully connected layers. Also, we look into the topic of transfer learning.

Regularization — Part 3

Towards Data Science

In this blog post, we introduce batch normalization and dropout. Furthermore, we look into different generalisations of both concepts.

Regularization Techniques

Analytics Vidhya

This short article talks about the regularization techniques, the advantages, meanings, way to apply them, and why are necessary. In this paper, I’m not going to explain how to design or how are the…

Regularization: Machine Learning

Towards Data Science

For understanding the concept of regularization and its link with Machine Learning, we first need to understand why do we need regularization. We all know Machine learning is about training a model…

Machine Learning Glossary

Regularization Data Augmentation Dropout Early Stopping Ensembling Injecting Noise L1 Regularization L2 Regularization What is overfitting? From Wikipedia overfitting is, The production of an analysis...

Regularization in Machine Learning

Towards Data Science

Flexibility refers to the ability of a model to represent complex variations between the feature variables and the target variable. Model flexibility influences its predictive ability to a large…

Regularization in Machine Learning

Level Up Coding

This article introduces regularization technique and its various types used in machine learning. Regularization is performed to generalize a model so that it can output more accurate results on…