Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search Paper Explained - видео

Neural Architecture Search is usually prohibitively expensive in both time and resources to be useful. A search strategy has to keep evaluating new models training them to convergence in an inner loop to find out if they are any good. This paper proposes to abstract the problem and extract the essential part of the architecture to be optimized into a smaller version and evaluates that version on specifically custom learned data points to predict its performance which is much faster and cheaper tha...
Источник видео: RuTube.ru (Технологии и интернет)