Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
the train set and dev set error. Generally, we can define it as: If the dev set error is much more than the train set error, the model is overfitting and has a high variance When both train and dev set errors are high, the model is underfitting and has a high bias If the train set error is high and