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Overparameterized neural networks: Feature learning precedes overfitting, research finds
Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
The basis of social learning theory is simple: People learn by watching other people. We can learn from anyone—teachers, parents, siblings, peers, co-workers, YouTube influencers, athletes, and even ...
How animals may modify their behavior depending on their context has been modeled mathematically by two RIKEN neuroscientists. Their simple but biologically plausible model could shed light on mental ...
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