Looking at images, people see outlines before the details within them. A replacement for the traditional convolutional layer decomposes images based on this distinction between coarse and fine features.
Survival of the Overfittest
Neuroevolution, which combines neural networks with ideas drawn from Darwin, is gaining momentum. Its advocates claim that they can achieve faster, better results by generating a succession of new models, each slightly
A word-embedding model typically learns vector representations from a large, general-purpose corpus like Google News. But to make the resulting vectors useful in a specialized domain, such as veterinary medicine, they must be fine-
Spotlight on Stock Scammers
The world’s largest stock market is using AI to flag suspicious trading in real time.What’s new: Nasdaq is testing a deep learning system to monitor trading of
Self-Driving Cars That Can't See Pedestrians?! Evolutionary Algorithms, Fish Recognition, Fighting Fraud
In this series exploring why machine learning projects fail, let’s examine the challenge of “small data.” Given 1 million labeled images, many teams can build a good classifier using open source.