Deep learning models, with their vast capacity to fit complex data patterns, are prone to overfitting when trained on limited or noisy datasets. Regularization techniques act as constraints or ...

Artificial neural networks, deep-learning methods and the backpropagation algorithm 1 form the foundation of modern machine learning and artificial intelligence. These methods are almost always used ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...