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DCGAN is initialized with random weights, so a random code plugged in to the network would make a totally random impression. Having said that, as you might imagine, the network has countless parameters that we are able to tweak, as well as the purpose is to locate a placing of those parameters that makes samples generated from random codes look lik

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This real-time model analyzes the sign from a single-lead ECG sensor to classify beats and detect irregular heartbeats ('AFIB arrhythmia'). The model is designed to have the ability to detect other sorts of anomalies such as atrial flutter, and will be repeatedly extended and enhanced.Group leaders have to channel a modify management and advancemen

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