diff options
| -rw-r--r-- | lenet.py | 8 |
1 files changed, 5 insertions, 3 deletions
@@ -106,12 +106,14 @@ def plot_history(history, metric = None): plt.ylabel('Loss') plt.xlabel('Epoch') -def train_classifier(x_train, y_train, x_val, y_val, batch_size=128, epochs=100): +def train_classifier(x_train, y_train, x_val, y_val, batch_size=128, epochs=100, metrics=['categorical_accuracy'], optimizer = None): shape = (32, 32, 1) model = get_lenet(shape) - sgd = optimizers.SGD(lr=0.001, decay=1e-6, momentum=0.9, nesterov=True) - model.compile(loss='categorical_crossentropy', optimizer=sgd) + if optimizer = None: + optimizer = optimizers.SGD(lr=0.001, decay=1e-6, momentum=0.9, nesterov=True) + + model.compile(loss='categorical_crossentropy', metrics=metrics, optimizer=optimizer) history = model.fit(x_train, y_train, batch_size=batch_size, epochs=epochs, verbose=1, validation_data = (x_val, y_val)) plot_history(history) |