UNRAVELING NEURAL NETWORKS: UNDERSTANDING THEIR MAIN FUNCTION AND THE ROLE OF PERCEPTRONS
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Keywords: Neural networks, perceptron, artificial intelligence, machine learning, deep learning, human brain, training, activation function, linear decision boundaries, multilayer perceptrons, hidden layers, nonlinear activation functions, pattern recognition, classification, regression, innovation.Аннотация
Neural networks, inspired by the intricate workings of the human brain, have become pivotal in artificial intelligence and machine learning. At the core of these networks lies the perceptron, a foundational unit that forms the basis of complex neural architectures. This abstract explores the essence of neural networks, elucidating their primary function and spotlighting the role of perceptrons. We delve into the operation and training of perceptrons, highlighting their limitations and the evolution towards more sophisticated neural structures. Through understanding neural networks and the significance of perceptrons, we uncover their transformative impact on diverse domains, shaping the landscape of technology and innovation.
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