Figure 5
From: Learning from droplet flows in microfluidic channels using deep neural networks

Predicted concentration by the DNN is compared to the true values. (a) Concentration prediction results using one DNN, and (b) concentration prediction results using six DNNs. The red points are the concentrations that the network is trained with and the blue points are the new concentrations. Error bars show the standard deviation for each case.