GitHub / Jithsaavvy / Explaining-deep-learning-models-for-detecting-anomalies-in-time-series-data-RnD-project

This research work focuses on comparing the existing approaches to explain the decisions of models trained using time-series data and proposing the best-fit method that generates explanations for a deep neural network. The proposed approach is used specifically for explaining LSTM networks for anomaly detection task in time-series data (satellite telemetry data).

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Topics: anomaly-detection, lstm-neural-networks, regression, rnn, satellite, sequential-models, telemetry-data, tensorflow, time-series

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