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Perceptron Learning Rule in Python by jnakka197 is a document available to read on EtoBox.

What is Perceptron Learning Rule in Python about?

The document presents a Python implementation of the Perceptron learning rule, which includes a class for creating a Perceptron with methods for predicting outputs and training on input data. It initializes weights, applies a learning rate, and iteratively adjusts weights based on the difference between predicted and actual labels over a specified number of epochs. The example demonstrates training the Perceptron on a simple logical AND operation and predicting outputs for the same inputs.

Author

jnakka197

Language

EN