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3D CNN with LSTM for Anomaly Detection by Nour Bejaoui is a document available to read on EtoBox.

What is 3D CNN with LSTM for Anomaly Detection about?

The document outlines a process for building and training a 3D CNN + LSTM model using TensorFlow Keras for video data analysis. It includes model architecture, training procedures, and anomaly detection through reconstruction errors. The model is designed to detect anomalies in sequences of frames by comparing reconstruction errors against a defined threshold.

Author

Nour Bejaoui

Language

EN