As it turns out, the preliminary, pre-activation sum (1.27 in the example) isn't important when using the common log-sigmoid or tanh activation functions, but the sum is needed during training when ...

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! # ...

Using the logistic sigmoid activation function for both the input-hidden and hidden-output layers, the output values are 0.6395 and 0.6649. The same inputs, ... Notice that unlike the log-sigmoid and ...