Hi everybody,
I am having problems reaching the required accuracy and I am not sure what lever to try.
I am using binary cross-entropy as a loss function and RMSProp or Adam algorithm for the training. Also, I am using 3 convolutions for image compression/reduction.
I played with different values learning rates, and different numbers of neurons in the hidden layer but still the model cannot exceed 90% training accuracy.
[code removed - moderator]
Thanks,
Thang