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Introduction to Non-Linear Boundaries

Explore how combining basic perceptrons like AND, OR, and NOT forms multilayer perceptrons that implement complex functions like XOR, enabling neural networks to separate non-linear regions. Understand why perceptrons alone can't handle non-linear data and how neural networks solve this challenge.

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A perceptron can implement each fundamental logical function: NOT, AND, and OR. They are named “fundamental” because any logical function, irrespective of how complex it is, can be obtained by a combination of these three functions. We can infer that if we appropriately connect the three perceptrons we have built, then we can implement any logical function!

XOR perceptron

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