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Convolutional Neural Netoworks Training Tools

Project description


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

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

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'],
                      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()

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Filename, size & hash SHA256 hash help File type Python version Upload date
convtt-0.0.2-py3-none-any.whl (42.2 kB) Copy SHA256 hash SHA256 Wheel py3
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