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Can we use Convolutional Neural networks for a non image dataset for prediction?

The dataset is a record of student academic details

I know that CNN is mostly used in computer vision and image processing for analyzing visual imagery. And it is also used in natural language processing for text classification.

I am new to this please guide me through

Thank you!!

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Short answer:

Yes, absolutely

Longer answer:

As a rule-of-thumb, you can always use any technique on any problem, as long as you define it properly. CNNs are meant to work on signal data. 1D signals can be sound waves, financial records, etc. 2D signals are usually images. 3D signals can be videos (with time being the 3rd dimension). And obviously, you can have as many dimensions as you'd like.

So as long as you can turn your input data (let's say a single training instance) into a signal, then be my guest. However, I fail to see how this dataset can be viewed as a signal.

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  • $\begingroup$ Thank you for the information can you please help me with some information as to which neural networks can be used for prediction purpose with such dataset.I searched but couldn't get any which explains it $\endgroup$
    – Sachin Yadav
    Oct 23, 2019 at 10:11
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    $\begingroup$ @SachinYadav you do not need to go into deep learning for this. Realistically bog standard ML algorithms like random forest or boosted options (e.g. XGB) are designed for these kinds of task and will less computationally intensive. If you insist LTSTM models are probably more appropriate for the task you have in mind. $\endgroup$
    – Fnguyen
    Oct 23, 2019 at 13:34
  • $\begingroup$ @Fnguyen thank you for the information I will surely refer it $\endgroup$
    – Sachin Yadav
    Oct 23, 2019 at 15:00
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    $\begingroup$ @Valentin Calomme Many might consider a sound wave as a 2D signal defined by time and amplitude, in the same way you use video as a 3D example, with time as an additional dimension. $\endgroup$
    – image_doctor
    Oct 24, 2019 at 15:05
  • $\begingroup$ Is it a valid assumption that there is a local effect in these datapoints? $\endgroup$
    – S van Balen
    Oct 28, 2019 at 10:59

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