Handwritten Digits Performance

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Hey everyone,

I have been working on a project to recognise hand written digits for the Digit Recognizer competition on Kaggle. I have been able to consistently develop the performance of the model from 95% to 99% on the public score. I have now stumbled upon a block and am not able to increase the performance of the model any further. The current performance of the model is as follows:

  • Training Set: 100% Accuracy; 3% Loss
  • Validation Set: 99.4% Accuracy; 5% Loss
  • Testing Set: 99.19% Accuracy; 6.5% Loss

Kindly help me out by providing tips, advice or new approaches to increase the performance model. Here is a link to the notebook My Notebook

Thank you so much for helping me out :slightly_smiling_face: :upside_down_face:

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Perhaps you have reached the useful limit.

1 Like
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@TMosh @Godugu_Anil_Himam I recall Prof. Ng’s, what was it, course three (?) of DLS and at least it sat me down to say hmmm…

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You don’t really need to tag individuals in your reply, because “Watching” is automatically set when anyone replies on a thread.

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Sorry, only trying to help…