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 ...

People with Alzheimer's disease develop defects in cognitive functions like memory as well as problems with noncognitive functions that can lead to anxiety and depression. Investigators used mice to ...

USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...

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 ...

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...

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