DREAMER-S: Deep leaRning-Enabled Attention-based Multiple-instance approaches with Explainable Representations for Spatial biology
Fig 4
Training results for model architecture optimisation with residual connection using different hidden number of nodes accumulated over three trial runs.
Left panel shows the ‘half’ expansion type while right panel shows the ‘double’ expansion type. Top panel depicts the training and validation F1-score and bottom panel depicts the loss values accumulated during training phase. Shaded regions are the standard deviation x 0.05 scale factor.