Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would be nearly imperceptible to a human viewer, can trick them into making egregious errors such as classifying a cat as a tree.
from News on Artificial Intelligence and Machine Learning https://ift.tt/2Vtu0Yp
Home
machine-learning-ai-news
News on Artificial Intelligence and Machine Learning
Neuroscientists find a way to make object-recognition models perform better
- Blogger Comment
- Facebook Comment
Subscribe to:
Post Comments
(
Atom
)
0 comments:
Post a Comment