encoder is this idea where you you take input data you corrupt it you ready to go to encoder and you reconstruct the original point without corruption and so visually it looks like this where this would be the data point every every one of those points is a is a a corrupted training sample if you want so it's still the spiral example and then you train a neural net to take you know you take a data point you corrupt it and then you train a neuron that to map from this to here this is the input this is the desired output very simple