Assertion: convolutional neural network | /r/HasProperty | great
Facets:
value: for photo tagging
type: PURPOSE
value: for capturing local information
type: PURPOSE
Source sentences:
text: They are great for capturing local information (e.g. neighbor pixels in an image or surrounding words in a text) as well as reducing the complexity of the model (faster training, needs fewer samples, reduces the chance of overfitting).
text: Convolutional neural networks (CNN) are great for photo tagging, and recurrent neural networks (RNN) are used for speech recognition or machine translation.