The basic GAN model consists structurally of a Generator and a Discriminator.The initial purpose of GAN is to perform unsupervised learning based on large amounts of unlabeled data, which has the ...

Ali Momeni, Babak Rahmani, Matthieu Malléjac, Philipp del Hougne, Romain Fleury. Backpropagation-free training of deep physical neural networks. Science, 2023; DOI: 10.1126/science.adi8474 ...

Deep learning models use various techniques—such as image classification, object detection, segmentation and optical character recognition (OCR)—to extract features from images and are trained ...

Methods: A deep learning algorithm based on 2D Pix-2-Pix generative adversarial network (GAN) architecture was developed from paired AC-PET and NAC-PET images. 18F-DCFPyL PSMA (prostate-specific ...

New York, Sept. 10, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Next Wave of Deep Learning Models & Applications (RNN, CNN, and GaN)" - https://www.reportlinker ...