By the late 1990s, the use of the log-sigmoid and tanh functions for hidden node activation had become the norm. So, the question is, should you ever use an alternative activation function? In my ...

Because the log-sigmoid function constrains results to the range (0,1), the function is sometimes said to be a squashing function in neural network literature. It is the non-linear characteristics of ...

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! # ...