Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
bias? Solution: We can figure out whether the model has high bias by looking at the training set error. High training error results in high bias. In such cases, we can try bigger networks, train models for a longer period of time, or try different neural network architectures. Question 2: Does the