c3b512fa98f0c560ec59a73858057bc4decab75e,examples/mnist_siamese.py,,create_base_network,#Any#,65

Before Change

def create_base_network(input_dim):
    """Base network to be shared (eq. to feature extraction).
    """
    seq = Sequential()
    seq.add(Dense(128, input_shape=(input_dim,), activation="relu"))
    seq.add(Dropout(0.1))
    seq.add(Dense(128, activation="relu"))
    seq.add(Dropout(0.1))
    seq.add(Dense(128, activation="relu"))
    return seq


def compute_accuracy(y_true, y_pred):
    """Compute classification accuracy with a fixed threshold on distances.

After Change

def create_base_network(input_dim):
    """Base network to be shared (eq. to feature extraction).
    """
    input = Input(shape=(input_dim,))
    x = Dense(128, activation="relu")(input)
    x = Dropout(0.1)(x)
    x = Dense(128, activation="relu")(x)
    x = Dropout(0.1)(x)
    x = Dense(128, activation="relu")(x)
    return Model(input, x)


def compute_accuracy(y_true, y_pred):
    """Compute classification accuracy with a fixed threshold on distances.

Instances