Problem 58882. Neural Nets: Activation functions

Return values of selected Activation function type for value,vector, and matrices.
y=Activation(x,id); where id is 1:4 for ReLU, sigmoid, hyperbolic_tan, Softmax
ReLU: Rectified Linear Unit, clips negatives max(0,x) Trains faster than sigmoid
Sigmoid: Exponential normalization [0:1]
HyperTan: Normalization[-1:1] tanh(x)
Softmax: Normalizes output sum to 1, individual values [0:1] Used on Output node
Working though a series of Neural Net challenges from Perceptron, Hidden Layers, Back Propogation, ..., to the Convolutional Neural Net/Training for Handwritten Digits from Mnist.
Might take a day or two to completely cover Neural Nets in a Matlab centric fashion.
Essentially Out=Softmax(ReLU(X*W)*WP)
Solve

Solution Stats

21.05% Correct | 78.95% Incorrect
Last Solution submitted on Oct 28, 2025

Problem Comments

Solution Comments

Show comments

Problem Recent Solvers11

Suggested Problems

More from this Author308

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!