Neural network dropout was introduced in a 2012 research paper (but wasn't well known until a follow-up 2014 paper). Dropout is now a standard technique to combat overfitting, especially for deep ...

Python has been used for many years, and it seems as if Python is becoming the most common language for accessing sophisticated neural network libraries such as CNTK, TensorFlow and others. At the ...

These visualizations should help researchers figure out how to back-trace neural network decisions, sort of like an inside-out map. You can check out the rest of the images and learn more about ...