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Introduction to Neural Networks
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The history of artificial intelligence stretches back to the 1950s, when early researchers began to formalize human reasoning as algorithms. Over decades, this field evolved from symbolic logic into statistical learning and eventually into deep neural networks.

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Neural networks are computing systems inspired by biological neural networks. They consist of layers of interconnected nodes that process information using connectionist approaches to computation.

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Neural networks are layered computational systems modeled after the human brain, enabling machines to recognize patterns, make decisions, and learn from data through interconnected node architectures.

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Training involves adjusting weights through backpropagation, iteratively minimizing the loss function across thousands of gradient descent steps…

#machine-learning#ai#deep-learning
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