ECG Anomaly Detection using AE in Tensorflow - DLMC27

Name: ECG Anomaly Detection using AE in Tensorflow - DLMC27
Start: 2021-01-28T21:00:00+05:00
End: 2021-01-28T22:00:00+05:00

Sir Syed University of Engineering & Technology - Karachi, Pakistan

We will train an autoencoder to detect anomalies on the ECG5000 dataset. This dataset contains 5,000 Electrocardiograms, each with 140 data points. You will use a simplified version of the dataset, where each example has been labeled either 0 (corresponding to an abnormal rhythm), or 1 (corresponding to a normal rhythm). You are interested in identifying the abnormal rhythms.

Jan 28, 2021, 4:00 – 5:00 PM

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Machine Learning

About this event

We will train an autoencoder to detect anomalies on the ECG5000 dataset. This dataset contains 5,000 Electrocardiograms, each with 140 data points. You will use a simplified version of the dataset, where each example has been labeled either 0 (corresponding to an abnormal rhythm), or 1 (corresponding to a normal rhythm). You are interested in identifying the abnormal rhythms. Now for more attend the workshop today, don't forget to grab some intelligence today. xD