https://www.selleckchem.com/products/OSI-906.html
In this way, the best number of hidden layers for dense layer for that pre-trained network with best accuracy and no-overfitting can be found with less time. Here, VGG16 and VGG19 (pre-trained upon "ImageNet" dataset) is tested upon chest X-rays (pneumonia and COVID-19). For finding the best total number of hidden layers, it saves nearly 44 min for VGG19 and 36 min and 37 s for VGG16 feature extractor.Spectral computed tomography (CT) based on a photon-counting detector (PCD) is a promising technique with the potential to improve lesion
Gefällt mir
Kommentar
Teilen
