CNNTrainer_Dpnet.py

import logging
import mxnet as mx
import CNNCreator_dpnet

if __name__ == "__main__":
    logging.basicConfig(level=logging.DEBUG)
    logger = logging.getLogger()
    handler = logging.FileHandler("train.log","w", encoding=None, delay="true")
    logger.addHandler(handler)

    dpnet = CNNCreator_dpnet.CNNCreator_dpnet()
    dpnet.train(
        batch_size = 64,
        num_epoch = 100,
        context = 'cpu',
        normalize = True,
        optimizer = 'sgd',
        optimizer_params = {
            'weight_decay': 5.0E-4,
            'learning_rate_minimum': 0.01,
            'learning_rate_decay': 0.9,
            'step_size': 8000}



    )