Fig. 3: Training and validation of the deep learning model.
From: High-speed identification of suspended carbon nanotubes using Raman spectroscopy and deep learning
a Architecture of the convolutional neural network. b, c Accuracy of the model while varying the integration times used for training and validation. d, e Accuracy of the model while varying the laser power used for training and validation.
