title: caffe - how to properly train alexnet with only 7 classes
body: <p>I have a small dataset collect from imagenet(7 classes each class with 1000 training data). I try to train it with alexnet model. But somehow the accuracy just cant go any higher(about 68% maximum). I remove conv4 and conv5 layer to prevent model overfitting also decrease the number of neuron in each layer(conv and fc). here is my setup.<a href="https://i.stack.imgur.com/idrNI.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/idrNI.jpg" alt="enter image description here"></a></p>
  
  <p>Did i do anything wrong so that the accuracy is so low?</p>