Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
understand it better. Consider the training set for a binary classification problem: But when we try to generalize it to a dataset having different distribution, say: The decision boundary in both the cases might be same: But the model would not be able to discover this green decision boundary. So,