*3.4. Experiments*

The proposed network was assessed on the Oulu-CASIA NIR facial expression database [18]. The network was implemented in the Caffe framework, which ran on a PC with a NVIDIA Geforce GTX 1080 graphical processing unit (GPU) (8 G). Training a model with the correct parameters is the key to achieving optimal performance, which has a direct impact on the experimental results. We trained the network from scratch using a batch size of 4, an initial learning rate of <sup>10</sup>−3−3, and a weight decay of 0.0005.
