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Problem with Perceptron
The problem with Perceptrons lies in their limitation to learn complex patterns and functions, especially those that are not linearly separable. A Perceptron is a single-layer neural network with binary outputs, and it can only solve problems where the data points are linearly separable. If the data is not linearly separable, a Perceptron ...
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