Neural network with small data set
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Hey there,
first of all, I am just a beginner starting with ANN's.
I am trying to make predictions with a simple Neural Network out of very small data sets. For example I got 3 inputs at a sample size of 24 to make predictions for 1 output.
Now my questions: Do you think it is feasible to get adequate results out of such a small sample size? What can I do to get more accuracy?
What can you recommend regarding the amount of layers and neurons?
Thanks for your help!
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Siddharth Solanki
2021년 7월 13일
편집: Siddharth Solanki
2021년 7월 13일
As per my understanding you are trying to achieve better accuracy with a very small dataset and would like to know ways of improving the accuracy and some suggestions on architecture.
You can try to augment your dataset to increase the effective size of your dataset. Refer to this link for more details on image input. If you have audio input dataset then you can refer to this link.
You can also try transfer learning with pretrained nets which might suit your purpose if you have an image dataset - link.
If the dataset allows for using a ML algorithm for solving the problem, then it might be a good way to go about it for a small dataset. You may refer to this link for basics.
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