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Results tagged with neural-networks
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user 240317
Artificial neural networks (ANNs) are a broad class of computational models loosely based on biological neural networks. They encompass feedforward NNs (including "deep" NNs), convolutional NNs, recurrent NNs, etc.
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What does it mean to model models? treating models with skepticism?
I watched a vid from TensorFlow probability developer. He talked about:
Aleatoric uncertainty (he added 1 more output parameter to estimate variance of prediction)
Epestimic uncertainty (he allowed …
- 255
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Why Boltzmann machine is represented as a fully connected graphical model?
The joint factorizes into unaries and pair-wise potentials. If that is the case, then why do we represent it as a fully connected graph? It is misleading and gives the impression that the joint cannot …
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