title: High train accuracy poor test accuracy
body: <p>I have a neural network which classify 3 output.My dataset is very small, I have 340 images for train, and 60 images for test. I build a model and when I compile at my result is this:</p>
  
  <p>Epoch 97/100
  306/306 [==============================] - 46s 151ms/step - loss: 0.2453 - accuracy: 0.8824 - val_loss: 0.3557 - val_accuracy: 0.8922
  Epoch 98/100
  306/306 [==============================] - 47s 152ms/step - loss: 0.2096 - accuracy: 0.9031 - val_loss: 0.3795 - val_accuracy: 0.8824
  Epoch 99/100
  306/306 [==============================] - 47s 153ms/step - loss: 0.2885 - accuracy: 0.8627 - val_loss: 0.4501 - val_accuracy: 0.7745
  Epoch 100/100
  306/306 [==============================] - 46s 152ms/step - loss: 0.1998 - accuracy: 0.9150 - val_loss: 0.4586 - val_accuracy: 0.8627</p>
  
  <p>when I predict the test images, test accuracy is poor.
  What should I do ? I also use ImageDatagenerator for data augmentation  but the result is same.Is it because I have small dataset.</p>