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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 use of random features in neural networks, kernel regression, and the application of stochastic gradient descent. It explains the equivalence between neural networks and kernel regression, emphasizing the role of activation functions and hidden layers.
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