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3 votes
1 answer
170 views

Why do Convolution Neural Networks work on NLP/sequential tasks?

I have read some articles where people use 1D CNN for NLP tasks like sentiment analysis. My questions are, given that CNNs are largely used for images, how/why does this work on sequences/NLP tasks? ...
cookiecutter's user avatar
1 vote
1 answer
46 views

When is an object detection approach over a CNN approach appropriate?

I understand that CNNs are for image classification while object detection is for localization + classification of the objects detected. However, in particular, AI for chest radiographs, why is object ...
ddd's user avatar
  • 21
1 vote
1 answer
349 views

When should we use CNN instead of MLP?

Is CNN only applicable to time-series data or image data? When should we use CNN instead of MLP?
user366312's user avatar
2 votes
1 answer
214 views

Why everyone is using CNN for image segmentation?

I'm a newbie in artificial intelligence. I have started to research how to do image segmentation and all the papers that I have found are about CNN. Most of them use the same network, U-net, but with ...
VansFannel's user avatar
2 votes
0 answers
79 views

Why is graph convolution network in time-varying graphs useful for anomaly detection?

In this paper, the authors refer to the application of time-varying graphs as an open problem. And they say it will be useful for anomaly detection in financial networks, etc. But why is that useful?
unsmoother's user avatar