0
$\begingroup$

I am trying to classify my dataset into two categories using transfer learning with vgg and finetuning the very last layer (fully-connected). When I plot the graph of value vs epochs, I get the following graph:

enter image description here

Each graph shows a unique, different learning rate. It seems like the validation accuracy / loss always plateaus regardless of which learning rate I set; is this the sign of overfitting? What could potentially be the cause of this?

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.