Data Science, Machine Learning, Deep Learning, Neural Networks, Activation Functions.
hill in their shape. Sigmoid is a non-convex graph — the result of non-convex tries to enter the linear line, but it only affects the square error. It makes the linear line non-convex or tries to influence non-convex-like nature or shape. That is why the model thinks it has matured very early after