end.py

model.compile(loss="categorical_crossentropy",
              optimizer="adam",
              metrics=['accuracy'])

model.fit(x_train, y_train,
          batch_size=batch_size,
          epochs=epochs,
          validation_split=0.3,
          validation_data=(x_test, y_test),
          callbacks=[kerasboard])


print("tensorboard --logdir="+kerasboard.log_dir)