Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

Abstract: Although most of the patients' recordings includes large scale long-term physiological time series, the patient-level quantity is relatively small, posing great challenges for machine ...

This video teaches how to safely fall out of handstands, helping you overcome fear and build confidence while training. Learn controlled exit techniques, proper shoulder rotation, and safe bail ...