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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the error function landscape, minima, saddle points, momentum, ADAM optimizer, and the No Free Lunch Theorem in the context of artificial neural networks. It also discusses the differences between shallow and deep networks, the task of hidden neurons, and gradient descent optimization methods.