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Artificial Neural Network

It is a computing based systems by biological artificial networks  that constitute animal brains. For instance , in image recognition, they could learn to spot images that contain cats by analyzing example images that are manually labeled as "cat" or "no cat" and using the results to spot cats in other images. which loosely model the neurons during a biological brain. Each connection, just like the synapses during a biological brain, can transmit a sign to other neurons. A man-made neuron that receives a sign then processes it and may signal neurons connected . In ANN implementations, the "signal" at a connection may be a real. The load increases or decreases the strength of the signal at a connection. Neurons may have a threshold such a sign is shipped as long as the mixture signal crosses that threshold. Typically, neurons are aggregated into layers.

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