Figure 2
From: Deep learning for tumor margin identification in electromagnetic imaging
The recurrent auto-encoder architecture capable of training with measurements. The linear stages are represented as arrows. The non-linear activation functions are represented as boxes. At each layer, the linear gradient descent step is followed by the shrinkage operation.
