All Questions
Tagged with applications convolutional-neural-networks
5 questions
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? ...
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 ...
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?
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 ...
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?