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Deep learning: Overfitting , underfitting, and regularization

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A
Aly Abdelkareem

This is a short intro to Overfitting , underfitting, and regularization in deep learning training and testing

Technology
1 of 11
Overfitting , Underfitting, and Regularization Aly O. Abdelkareem
How to find overfitting or underfitting ?
Solutions for overfitting? 1. Increase training examples 2. Regularization 1. L2 2. L1 3. Dropout
Regularization
Dropout
Resources • http://www.chioka.in/differences-between-l1-and-l2-as-loss- function-and-regularization/ • https://medium.com/@amarbudhiraja/https-medium-com- amarbudhiraja-learning-less-to-learn-better-dropout-in-deep- machine-learning-74334da4bfc5

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Deep learning: Overfitting , underfitting, and regularization