Deep Learning II - Joan Bruna NYU

Explore advanced concepts in deep learning through this comprehensive lecture by Joan Bruna from NYU, covering topics such as symmetry, transformations, time series analysis, continuous domain applications, geometric stability, convolutional networks, and scattering representations. Delve into the intricacies of reproducing kernels, convolutional kernel networks, and spatial support while gaining insights into various deep learning models and their applications.