10. Describe the convolutional layer in neural networks. How is it related to regularization?
11. Describe how batch normalization is performed and in which way it helps with training multilayer
neural networks with ReLU activation function.
12. What is the significance of the Representer Theorem for learning using kernels (e.g. Gaussians).
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