def test_3lnn_load_dataset(self):
il_nn = 2
hl_nn = [4]
ol_nn = 2
nn = NeuralNetwork(il_nn, hl_nn, ol_nn)
scd = DemoDataset()
scd.init_random_training_indexes()
scd.danku_init()
nn.load_dataset(scd)
nn.init_network()
assert (not isinstance(nn.tf_weights, type(None)))
assert (not isinstance(nn.tf_init, type(None)))
assert (not isinstance(nn.tf_layers, type(None)))
def test_3lnn_load_dataset():
il_nn = 2
hl_nn = [4]
ol_nn = 2
nn = NeuralNetwork(il_nn, hl_nn, ol_nn)
scd = SampleHalfDividedDataset()
scd.init_random_training_indexes()
scd.cyphai_init()
nn.load_dataset(scd)
nn.init_network()
assert (not isinstance(nn.tf_weights, type(None)))
assert (not isinstance(nn.tf_init, type(None)))
assert (not isinstance(nn.tf_layers, type(None)))
def test_train_2lnn():
il_nn = 2
hl_nn = []
ol_nn = 2
nn = NeuralNetwork(il_nn, hl_nn, ol_nn)
scd = SampleHalfDividedDataset(training_percentage=0.8)
scd.init_random_training_indexes()
scd.danku_init()
nn.load_dataset(scd)
nn.init_network()
nn.train()
assert (not isinstance(nn.tf_weights, type(None)))
assert (not isinstance(nn.tf_init, type(None)))
assert (not isinstance(nn.tf_layers, type(None)))