Your First Step Toward Neural Networks & Machine Learning
What you will learn
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Understand the fundamentals of a simple perceptron model, including its structure, working principles, and activation functions.
Manually compute perceptron outputs for binary classification problems, specifically using the AND gate as a foundational example.
Apply weight updates using basic learning rules, and visualize how the perceptron learns from training data.
Develop intuition for neural network behavior, laying a strong conceptual foundation for more advanced AI and machine learning models.
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