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What we refer to as Neural Networks in the course are mostly Artificial Neural Networks (ANN).
ANN are approximation of biological neural networks and are built of physical devices, or simulated on computers.
ANN are parallel computational entities that consist of multiple simple processing units that are connected in specific ways in order to perform the desired tasks.
ANN are computationally primitive approximations of the real biological brains
: e.g., handwriting recognition, time series prediction, kernel machines (support vector machines, data compression, financial predication, speech recognition, computer vision, protein structures
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