DeepLearningPython35/testBp.py at master · brooknew/DeepLearningPython35 · GitHub

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"""
    Testing code for different neural network configurations.
    Adapted for Python 3.5.2

    Usage in shell:
        python3.5 test.py

    Network (network.py and network2.py) parameters:
        2nd param is epochs count
        3rd param is batch size
        4th param is learning rate (eta)

    Author:
        Michał Dobrzański, 2016
        dobrzanski.michal.daniel@gmail.com
"""

# ----------------------
# - read the input data:

import mnist_loader
training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
training_data = list(training_data)

# ---------------------
# - network.py example:
import network


net = network.Network([784, 30, 10])
net.SGD(training_data, 30, 10, 3.0, test_data=test_data)


# ----------------------
# - network2.py example:
#import network2

'''
net = network2.Network([784, 30, 10], cost=network2.CrossEntropyCost)
#net.large_weight_initializer()
net.SGD(training_data, 30, 10, 0.1, lmbda = 5.0,evaluation_data=validation_data,
    monitor_evaluation_accuracy=True)
'''

#