Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter

The activation function

Each layer in the neural network undergoes the application of a function called the activation function. This function plays the role of keeping the data contained inside neurons within a normalized range, which would otherwise grow too large or too small and lead to errors in the computation relating to the handling of large decimal coefficients or large numbers in computers. Additionally, it is the activation function that enables the neural network to handle the non-linearity of patterns in data.