In this work, a new custom design of an anomaly detection and classification system is proposed. It composed convolutional Auto-Encoder (AE) hardware to perform which cooperates with mixed HW/SW Convolutional Neural Network (CNN) the detected anomalies. The AE features partial binarization, so that weights are binarized while activations, associated some selected layers, non-binarized. This has...