I am planning to implement Convolutional Neural Network model. Is CNN supports only image classification applications? Can I apply CNN modelling on other regular dataset for classification or prediction?
yes there are many other applications like protein-protein interaction(predication), text classifications (NLP) etc
yes also drug design
Among the numerous possible general explanations, convolution can be thought as “looking at a function’s surroundings to make better/accurate predictions of its outcome.”
Below are two concrete examples.
Hence, CNNs can be used at any place where there’s a location relationship among the features. The dimensionality of the problem will change according to the problem. In the first example it’s 1-D whereas in the second example it’s 2-D.
Natural language processing tasks, time series tasks, and proteomics are some of the areas where CNN can be used.
Yes, CNN can also use for text classification. This link is one of the paper example : http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/download/9745/9552
Regards,
Toto
Yes.
You can apply this for any types of classification problem like
1. Disease classification such as breast cancer, heart disease , diabetes, liver disorder, lung cancer etc. classification
2. Text classification
You can see the following link:
https://www.researchgate.net/profile/Saman_Sarraf2/publication/307307534_DeepAD_Alzheimer%27s_Disease_Classification_via_Deep_Convolutional_Neural_Networks_using_MRI_and_fMRI/links/588d30f1a6fdcc8e63c982aa/DeepAD-Alzheimers-Disease-Classification-via-Deep-Convolutional-Neural-Networks-using-MRI-and-fMRI.pdf
https://arxiv.org/ftp/arxiv/papers/1607/1607.06583.pdf
Dear Dr. Kamath,
I think your question is not properly understood by some of the above repliers. Aren't texts also images? Are we not taking images for the dealing of diseases like cancer? You may make your question more clear.
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