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Multiclass neural network classifier

There are few ways to use this.


1) With creation of a temporal dump file:

Create bottleneck dump:

python3 train_full_model.py -mb
  • dump.gz and labels.txt will be created.

Train the last layer:

python3 train_last_layer.py
  • weights of the last layer will be stored in "saved_model" directory.

Create evaluation pb-model without stop_gradient nodes and so on:

python3 train_last_layer.py -ev

or you can continue train full network:

python3 train_full_model.py -llr
  • then only weights of the last layer will be load, and model will be continue to train.

2) Without

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