本文整理匯總了Python中Helper.Helper.load_data方法的典型用法代碼示例。如果您正苦於以下問題：Python Helper.load_data方法的具體用法？Python Helper.load_data怎麽用？Python Helper.load_data使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類Helper.Helper的用法示例。
在下文中一共展示了Helper.load_data方法的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: Graph
# 需要導入模塊: from Helper import Helper [as 別名]
# 或者: from Helper.Helper import load_data [as 別名]
batch_size = 100
nb_classes = 2
nb_epoch = 80
data_augmentation = False
# input image dimensions
img_rows, img_cols = 64, 64
img_channels = 3
train_path = "/scratch/basag/train_data/"
test_path = "/scratch/basag/test_data/"
train_labels_path = "/scratch/basag/train_labels.csv"
test_labels_path = "/scratch/basag/test_labels.csv"
X_train, Y_train, X_test, Y_test = Helper.load_data(train_path, train_labels_path, test_path, test_labels_path)
# convert class vectors to binary class matrices
#Y_train = np_utils.to_categorical(Y_train, nb_classes)
#Y_test = np_utils.to_categorical(Y_test, nb_classes)
#print(np.shape(X_train))
#print(len(Y_train))
#print(np.shape(X_test))
#print(len(Y_test))
model = Graph()
model.input(shape=(img_channels, img_rows, img_cols), name='input1')
model.node(Convolution2D(32, 7, 7), name='conv11', input='input1', activation='relu')
model.node(Convolution2D(32, 3, 3), name='conv12', input='conv11', activation='relu')