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Comparison between artificial and biologic neural networks. Neural networks are comprised of multiple interconnected layers. Data is fed to the network, and an output is produced. By comparing the network’s output to the desired true label, an error can be estimated. Based on the error, the algorithm optimizes connections between the layers. The connections between the neurons are termed “weights”. Ultimately, a tuned network is achieved.
