Algorithms OMSCS

Artificial Neural Network: Perceptron Training

There could be two types of training algorithms for the weights for a neuron. First is to minimize the error between predicted y_hat and y. Here y_hat = boolean(activation >= threshold). This type of perceptron-based learning works best for linearly separable data and guarantees finite iterations. Second type is Gradient Descent algorithm which minimizes the […]