Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test accuracy is very low, the model highly overfits the training dataset set ...

A large barrier in neuroscience is the ability for researchers to conduct studies on a live, functioning brain without surgery or implanting probes. Today researchers at the Massachusetts Institute of ...

(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) William Wright, University of California, San Diego and Takaki Komiyama, University of ...

An important part of the human experience is striving for higher achievements and deeper understanding. In science, deeper understanding can have practical applications for health and ameliorating the ...

Northwestern Medicine scientists have discovered that targeting neuronal signaling controlling aberrant learning in the ...