Fig. 6
From: Deep learning for classifying quantum emission signals in WS2 monolayers using wavelet transform
Schematic representation of the ResNet50-based architecture used for spectral band classification of quantum emission signals. CWT images of size 128 × 128 are input into frozen convolutional layers of the pretrained ResNet50, followed by a fully connected layer and a sigmoid activation function for binary classification.
