# Tensorboard, earlystopping, ModelCheckpointlogdir = './dnn-callbacks'if not os.path.exists(logdir): os.mkdir(logdir)output_model_file = os.path.join(logdir, "fashion_mnist_model.h5")callbacks = [ keras.callbacks.TensorBoard(logdir), keras.callbacks.ModelCheckpoint(output_model_file, save_best_only = True), keras.callbacks.EarlyStopping(patience=5, min_delta=1e-3),]history = model.fit(x_train_scaled, y_train, epochs=10, validation_data=(x_valid_scaled, y_valid), callbacks = callbacks)