To develop a python code that creates a simple feed-forward neural networks or perception with the Sigmoid activation function. The neuron has to be trained such that it can predict the correct output ...

derivative.py plots the derivates of a quadratic equation, a sigmoid and tanh functions. sigmoidtanhgradientdescent.py shows xor logic without bias for neural network ...

Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, Sigmoid, and more. Perfect for machine learning enthusiasts and AI ...