How neural networks work
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How neural networks work
Did you know that the networks that support the development of artificial intelligence are based off of the human nervous system? In this video, you'll learn how AI scientists built artificial neural networks that can gather information from various sources and synthesize them into an insight, and how additional inputs can be used to train an ...
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A neural network learns by continuously adjusting its parameters - the weights and biases - to improve its prediction accuracy. These parameters are tweaked upward or downward based on how far the model’s predictions deviate from the actual results. The difference between the predicted output and the true value is measured using a loss function, which quantifies the error. To minimize this error, the model uses backpropagation, an algorithm that calculates the gradients (partial derivatives of t
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