Activation Functions: ReLU, Sigmoid, Tanh and Softmax

Deep neural networks can handle highly complex data sets, thanks to their depth and the use of various activation functions. Key activation functions include ReLU, Sigmoid, Tanh, and Softmax. These functions introduce non-linearity into the network, allowing it to handle nonlinear data. Each function comes with its benefits and Show more