Practical Aspects of Deep Learning

DL Comments

Notes from Coursera course by Andrew Ng.

Train/Dev/Test

Bias and Variance

high bias - underfitting (high train and dev error) and high variance - overfitting (low train error but higher dev error).

Regularization

Input Normalization

Vanishing/Exploding Gradients

Optimization Algorithms

Batch Normalization

Kaushik Rangadurai

Code. Learn. Explore

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