Python NeuralNetwork.load_datasetの例

コード例 #1

ファイル: test_nn.py プロジェクト: eshnil2000/google-colab

 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)))

コード例 #2

ファイル: test_neural_network.py プロジェクト: Cyphai/Cyphai-protocol

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)))

コード例 #3

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)))