Cifar10 with astroNN

Here is a Cifar10 example using astroNN

from keras.datasets import cifar10
from keras import utils
import numpy as np

from astroNN.models import Cifar10CNN

(x_train, y_train), (x_test, y_test) = cifar10.load_data()
y_train = utils.to_categorical(y_train, 10)
y_test = utils.to_categorical(y_test, 10)

y_train = y_train.astype(np.float32)
x_train = x_train.astype(np.float32)

x_test = x_test.astype(np.float32)
y_test = y_test.astype(np.float32)

net = Cifar10CNN()
net.max_epochs = 10
net.train(x_train, y_train)
# Load the folder back
from astroNN.models import load_folder

# Replace with correct name
cnn = load_folder('astroNN_0114_run001')
prediction = cnn.test(x_test)