Relu, Neural Networks, Deep Learning, Data Science, Machine Learning.
small enough to avoid overfitting. Moreover, with a limited number of neurons, a good approximation with low loss has more transition points in restricted domain, rather than equidistant transition points in an uniform sampling way (as shown in Fig.10). Figure 10: Two piecewise linear