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In your doodle classification example using cnn the loss is very high and in each iteration it is not reducing.
I made some changes in the model like changed optimizer to "rmsprop" and loss metric as "MeanSquaredError", then the model is performing good with 95.5% accuracy
The text was updated successfully, but these errors were encountered:
In your doodle classification example using cnn the loss is very high and in each iteration it is not reducing.
I made some changes in the model like changed optimizer to "rmsprop" and loss metric as "MeanSquaredError", then the model is performing good with 95.5% accuracy
The text was updated successfully, but these errors were encountered: