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a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
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Role of mode in bottleneck function in unet network
That mode parameter is simply referring to how (what way) the bottleneck should be, what type of bottleneck to use.
There is nothing fancy to it. There is at least one usage in statistics of mode tha …