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Data Science

Easy explanation of Convolution vs Cross-Correlation in Convolutional Neural Network (CNN)

Convolution layer for CNN is explained in simple words

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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 […]