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Results tagged with hyper-parameters
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user 22450
For questions related to the hyper-parameters of AI models and algorithms, which are parameters that are set before the learning process begins. For example, the number of hidden layers in a feed-forward neural network is usually a hyper-parameter.
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Could it make any sense to choose a larger dimension for the latent space of the VAE with re...
I am not sure about the VAE in particular, but the convnext presented here uses the "inverse bottleneck" (i.e. internal representations being higher dimensional than inputs) as one of the core changes …
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