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Recently, neural networks have grown in popularity, with new architectures, neuron types, activation functions, and training methodologies emerging in research. However, keeping up with the frenzy of new work in this area can be challenging without a fundamental understanding of neural networks. To know modern techniques, we must first comprehend the smallest, most fundamental building piece of these so-called deep neural networks: the neuron. We’ll look at connecting several of them into a layer to form a neural network known as a Perceptron. We’ll write Python code (using NumPy) to create a Perceptron infrastructure and execute the learning algorithm from…