Regularization

Dropout
Dropout

Dropout

Dropout is a regularization technique in AI, especially neural networks, that combats overfitting by randomly disabling neurons during training, promoting robus...

4 min read
AI Neural Networks +3
Overfitting
Overfitting

Overfitting

Overfitting is a critical concept in artificial intelligence (AI) and machine learning (ML), occurring when a model learns the training data too well, including...

2 min read
Overfitting AI +3
Regularization
Regularization

Regularization

Regularization in artificial intelligence (AI) refers to a set of techniques used to prevent overfitting in machine learning models by introducing constraints d...

9 min read
AI Machine Learning +4
Underfitting
Underfitting

Underfitting

Underfitting occurs when a machine learning model is too simplistic to capture the underlying trends of the data it is trained on. This leads to poor performanc...

5 min read
AI Machine Learning +3