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This real-time model analyzes the signal from one-lead ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is intended to be able to detect other sorts of anomalies like atrial flutter, and can be repeatedly extended and enhanced.More responsibilities is usually easily extra into the SleepKit framework by mak
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DCGAN is initialized with random weights, so a random code plugged to the network would generate a totally random image. Having said that, while you might imagine, the network has countless parameters that we can easily tweak, along with the target is to find a placing of such parameters that makes samples produced from random codes appear to be th