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Convolutional Neural Netoworks Training Tools

Project description

convtt

Convolutional Neural Netoworks Training Tools

example of DenseNet training

The example is included in the bin folder in the package with the file name of convtt_train_densenet.py.

Here is a code snippet of creating a trainer and train the network given the model and the dataset.

# convtt_train_densenet.py
from convtt.models import densenet
from convtt.train.trainer import *

# initialise trainer
optimiser = build_optimiser(model=model, name='ScheduledSGD', milestones=[10, 20], lr=0.1)
driver = build_driver(model=model, training_epoch=30, batch_size=128, training_data=dataset.train['images'],
                      training_label=dataset.train['labels'],
                      validation_data=None, validation_label=None, test_data=dataset.test['images'],
                      test_label=dataset.test['labels'], optimiser=optimiser)
trainer = build_trainer(optimiser=optimiser, driver=driver)
test_acc = trainer.eval()
print(test_acc)

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Files for convtt, version 0.0.2
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