PerceptiLabs Blog

Using ResNets to Detect Anomalies in Industrial IoT Textile Production

Oct 8, 2020 3:08:16 PM / by PerceptiLabs posted in Machine Learning, MLOps, Model building, datasets, ResNet, residual block


Machine learning models for image classification often use convolutional neural networks (CNNs) to extract features from images while employing max-pooling layers to reduce dimensionality. The goal is to extract increasingly higher-level features from regions of the image, to ultimately make some kind of prediction such as an image classification.

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