C2W4 Assignment accuracy

Hi,

I was trying different things to achieve accuracy more than 99%.
One more conv layer, different optimizers with different learning rate accuracy was between 70-80%.
Just ImageDataGenerator with rescale, rotation and fill mode helped to achieve accuracy more than 99%.

Do we have any others approaches?

Best regards, Taras

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can you pleasee send your code?

Hi, Taras.
“A reasonable benchmark is to achieve over 99% accuracy for training and over 95% accuracy for validation within 15 epochs.” This seems too high for me because the task is 26 class classification.
I checked more sample images than 100.
I think shear and rotation are useless or limited gain since all images I checked are upright.
And horizontal flips will be harmful because they are all right hand.
I reflect those findings on the settings of ImageDataGenerator but my result was far beyond “A reasonable benchmark”
Any tips on how to achieve 99% accuracy in 15 epochs? Did you use transfer learning?

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I was running the calculations as I wrote my earlier post, and soon after that, I went to 99% in 15 epochs. It seemed better to be conservative with augmentation.
Thanks.

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“It seemed better to be conservative with augmentation.” Of Course!!! This kind of data must not have too many variations.

hello shiro, your post helped me understand and cleared week 4 assignment. thank you. I understood one think the more number of classes, the lesser complicated should be one’s model.

I can’t even get higher than 4% accuracy and I’ve been following the advice listed here. I don’t know what to do at this point.