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        "description": "# convtt\nConvolutional Neural Netoworks Training Tools\n\n## example of DenseNet training\n\nThe example is included in the `bin` folder in the package with the file name of `convtt_train_densenet.py`. \n\nHere is a code snippet of creating a trainer and train the network given the model and the dataset. \n\n```python\n# convtt_train_densenet.py\nfrom convtt.models import densenet\nfrom convtt.train.trainer import *\n\n# initialise trainer\noptimiser = build_optimiser(model=model, name='ScheduledSGD', milestones=[10, 20], lr=0.1)\ndriver = build_driver(model=model, training_epoch=30, batch_size=128, training_data=dataset.train['images'],\n                      training_label=dataset.train['labels'],\n                      validation_data=None, validation_label=None, test_data=dataset.test['images'],\n                      test_label=dataset.test['labels'], optimiser=optimiser)\ntrainer = build_trainer(optimiser=optimiser, driver=driver)\ntest_acc = trainer.eval()\nprint(test_acc)\n```\n\n\n",
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