<ul><li>The Perceptron, introduced by Frank Rosenblatt in 1957, marked the beginning of neural network evolution.</li><li>Today, when we talk about AI, we’re often referring to Deep Learning — deep artificial neural networks built upon the foundations of the Perceptron.</li><li>The Perceptron is the fundamental unit behind more complex neural networks, used for binary classification.</li><li>Modern Deep Learning models build upon the basic Perceptron structure by adding multiple intermediate layers and the attention mechanism introduced in the Transformer architecture.</li></ul>

The Logic Behind Deep Learning

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