本文整理匯總了Python中config.OMNIGLOT屬性的典型用法代碼示例。如果您正苦於以下問題：Python config.OMNIGLOT屬性的具體用法？Python config.OMNIGLOT怎麽用？Python config.OMNIGLOT使用的例子？那麽, 這裏精選的屬性代碼示例或許可以為您提供幫助。您也可以進一步了解該屬性所在類config的用法示例。
在下文中一共展示了config.OMNIGLOT屬性的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: read_omniglot
# 需要導入模塊: import config [as 別名]
# 或者: from config import OMNIGLOT [as 別名]
def read_omniglot(binarize=False):
"""Reads in Omniglot images.
Args:
binarize: whether to use the fixed binarization
Returns:
x_train: training images
x_valid: validation images
x_test: test images
"""
n_validation=1345
def reshape_data(data):
return data.reshape((-1, 28, 28)).reshape((-1, 28*28), order='fortran')
omni_raw = scipy.io.loadmat(os.path.join(config.DATA_DIR, config.OMNIGLOT))
train_data = reshape_data(omni_raw['data'].T.astype('float32'))
test_data = reshape_data(omni_raw['testdata'].T.astype('float32'))
# Binarize the data with a fixed seed
if binarize:
np.random.seed(5)
train_data = (np.random.rand(*train_data.shape) < train_data).astype(float)
test_data = (np.random.rand(*test_data.shape) < test_data).astype(float)
shuffle_seed = 123
permutation = np.random.RandomState(seed=shuffle_seed).permutation(train_data.shape[0])
train_data = train_data[permutation]
x_train = train_data[:-n_validation]
x_valid = train_data[-n_validation:]
x_test = test_data
return x_train, x_valid, x_test