title: MultiLabel Classification in Keras for moe than 1700 classes
body: <p>I have a huge protein dataset. with 9800 features and around 1700 class labels. Each sample can have 4 or 5 of the class label. I have designed the model and performed initial training. I am getting very high accuracy which I know the reason for. 
  My question is which optimizer and loss function would be accurate to get good results. Also, can anyone help me with the custom accuracy metric which is proving a bit tricky as it needs to be tensor based.</p>