Deep Learning, Regularisation, Optimization Algorithms, Deep Neural Networks, Gradient Descent.
into their respective class, we will have high variance (and overfitting). The right model fit is usually found between these two extremes: We want our model to be just right, which means having low bias and low variance. We can decide if the model should have high bias or high variance by checking