Using recurrent neural networks with attention for detecting problematic slab shapes in steel rolling

•A neural network based classification method that predicts if a steel strip would be flawed or not.•The benefit of analysing a raw sequence instead of summary statistics is shown.•How an attention mechanism can be used to make the reasoning of a recurrent neural network interpretable.