Explore five emerging trends in deep learning and artificial intelligence: federated learning, GANs, XAI, reinforcement learning and transfer learning.

Transfer learning decreases the number of cases and time needed to train a deep learning model by taking knowledge from a model that was trained on a large dataset and applying it to a different, yet ...

What is transfer learning in deep learning? Transfer learning aims to test how well a deep learning system can solve problems similar to the ones it's already studied.

In an industry first, deep transfer learning has now been used to train an artificial neural network to classify galaxies as spiral or elliptical with 99.8% accuracy based on their pictures.

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 ...

Douglas Fisher, Nancy Frey, Adeyemi Stembridge, Todd Finley, Kenneth Baum, and David Krulwich share their ideas on transfer of learning.