Flowchart of the deep-learning and transfer-learning hybrid method for AGRI AOD retrieval. Credit. Disong Fu, Hongrong Shi, Christian A. Gueymard, Dazhi Yang, Yu Zheng, ...

However, few studies reported using the method of deep learning coupled with transfer learning for the classification of organic waste and residual waste. Therefore, this study aims to discuss the ...

Deep learning and artificial intelligence (AI) are rapidly evolving fields with new technologies emerging constantly. Five of the most promising emerging trends in this area include federated ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Transfer learning, an AI technique that adopts models to new, related tasks without much training data, has immediate business implications. Skip to main content Events Video Special Issues Jobs ...

Six in one Example tumour segmentations predicted by the deep transfer learning approach, for prostate cancer, lung cancer, melanoma, lymphoma, head-and-neck cancer and breast cancer (showing pre- and ...

Since there are only a relatively small number of COVID-19 chest X-rays, the researchers chose to use transfer learning for training the deep CNNs. “The idea of transfer learning lies in the ...