I’m currently on lesson2 and seem to be a bit stuck on the using the vgg model for a Kaggle competition - Cervical Cancer Screening. I plan on using this competition as my testing ground for new techniques learned throughout the course and thought perhaps others would to so I wanted to start a thread to share thoughts and progress.
Any ways, I’ve attempted to use the technique of dropping the last layer and adding a linear model to Vgg16. However, my validation loss is coming back with what looks like abnormal numbers and nothing I do seems to improve the val_acc over 0.5 or val_loss under 2.0
From the below image is there anything weird that stands out?
(the competition has 3 categories “type_1, type_2, type_3” which is why I’m using Dense(3, activation=‘softmax’)
If I remove 2 layers (model.pop() twice) I do get better results but still a high val_loss…
Running epoch: 0
1181/1181 [==============================] - 60s - loss: 2.7072 - acc: 0.4936 - val_loss: 2.5278 - val_acc: 0.4300
Completed 1 fit operations