Jan 8, 2025 · Jan 8, 2025 · Jan 8, 2025 · Jan 8, 2025 · Jan 8, 2025
diff --git a/snippets/python/math-and-numbers/neuron.md b/snippets/python/math-and-numbers/neuron.md
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	---
	title: Basic Neuron Class
	description: A Python class representing a single artificial neuron that computes the weighted sum of inputs and applies an optional activation function.
	tags: python, machine-learning, neural-networks
Copy link Collaborator @Mathys-Gasnier Mathys-Gasnier Jan 8, 2025 Choose a reason for hiding this comment The reason will be displayed to describe this comment to others. Learn more. Please read the guidelines in CONTRIBUTING.md before submitting any snippets, Tags shouldn't contain the name of the language they are coded in Copy link Collaborator @majvax majvax Jan 8, 2025 Choose a reason for hiding this comment The reason will be displayed to describe this comment to others. Learn more. Adding typing to function could be great too ! Mathys-Gasnier reacted with thumbs up emoji
	author: jimmydin7
	---

	```py
	import numpy as np

	class Neuron:
	def __init__(self, inputs, weights, bias):
	self.inputs = inputs
	self.weights = weights
	self.bias = bias

	def get_output(self):
	weighted_sum = np.dot(self.inputs, self.weights) + self.bias
	return weighted_sum

	# Example usage
Copy link Collaborator @Mathys-Gasnier Mathys-Gasnier Jan 8, 2025 Choose a reason for hiding this comment The reason will be displayed to describe this comment to others. Learn more. Please follow proper formatting of snippets, using `# Usage:` for the usage section. Could you also improve the example a bit ? There is some text that's not in a comment, and you could add a comment showing what the result of a calculation is/looks like
	inputs = np.array([1.0, 2.0, 3.0])
	weights = np.array([0.2, 0.8, -0.5])
	bias = 2.0

	neuron = Neuron(inputs, weights, bias)
	output = neuron.get_output() (you can add an activation function)
	print(f"Neuron output: {output}")
	```