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Introduction to Perceptrons: Building Your First Neural Network in Python

Mlearning.ai

Source Learning We compare the output of the perceptron to the desired output and update the weights and bias accordingly. We also use another parameter called the learning rate. It takes several inputs and outputs a single binary decision. A Perceptron. Image by the author. b is the bias or threshold. Step function. We call it z.

Python 52