Question: Explain why the Perceptron does not come to what we would think of as an optimal solution between two classes of samples. How does using

Explain why the Perceptron does not come to what we would think of as an optimal solution between two classes of samples. How does using gradient descent with a mean squared error loss function with an MCP neuron solve this problem?

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