Deep Learning Mysteries
Simon delves into the enigmatic success of deep learning, highlighting the surprising efficiency in fitting deep networks and their remarkable generalization capabilities. He discusses the importance of overparameterization and activation functions in optimizing high-dimensional loss functions, shedding light on the mysteries behind deep learning's success.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Understanding Deep Learning - Prof. SIMON PRINCE [STAFF FAVOURITE]
Related Questions