Probability Seminar Series Clément Hongler, Professor École polytechnique fédérale de Lausanne Link to join seminar: Hosted on Webex. |
Neural Tangent Kernel and Applications.
The Neural Tangent Kernel is a new way to understand the gradient descent in deep neural networks, connecting them with kernel methods. In this talk, I'll introduce this formalism and give a number of results on the neural tangent kernel and explain how they give us insight into the dynamics of neural networks during training and into their generalization features. Based off joint works with Arthur Jacot and Franck Gabriel.