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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.
4
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what does smooth/soft probablity mean?
I was recently reading the Knowledge Distillation paper, and encountered the term smooth probabilities. The term was used to denote when the logits were divided a temperature.
Neural networks ty …
2
votes
1
answer
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Some questions about GoogleNet paper
This phrase is from the "Rethinking the Inception Architecture for Computer Vision" paper. it says :
Higher dimensional representations are easier to process locally within a network. Increa …