def run(template, path):
cifar = prepare_cifar10()
cifar_train = cifar.train
cifar_train_stream = cifar.train_stream
cifar_validation = cifar.validation
cifar_validation_stream = cifar.validation_stream
cifar_test = cifar.test
cifar_test_stream = cifar.test_stream
print("Compiling...", end=" ")
sys.stdout.flush()
network = compile(template)
print("DONE")
sys.stdout.flush()
train(network, cifar_train_stream, cifar_validation_stream, 1e-3, 0.7, path)
print("Test error rate is %f%%" % (compute_error_rate(cifar_test_stream, network.predict) * 100.0,))
#!/usr/bin/python3
from __future__ import print_function
import theano
import theano.tensor.signal.downsample
from utils import *
import time
import pickle
import sys
from layers import *
from prepare_cifar10 import *
cifar = prepare_cifar10()
cifar_train = cifar.train
cifar_train_stream = cifar.train_stream
cifar_validation = cifar.validation
cifar_validation_stream = cifar.validation_stream
cifar_test = cifar.test
cifar_test_stream = cifar.test_stream
def compile(template):
X = theano.tensor.tensor4('X', dtype = 'float32')
Y = theano.tensor.matrix('Y', dtype = 'uint8')
model_parameters = template.params
