问如何使用anaconda上的tensorboard访问日志文件

EN

    hidden_size = 256

    sl_model = keras.models.Sequential()
    [...]
    sl_model.add(keras.layers.Dense(max_length, activation='softmax')) 
    optimizer = keras.optimizers.Adam()
    sl_model.compile(loss='binary_crossentropy', optimizer=optimizer, metrics=['acc'])

    batch_size = 128
    epochs = 3

    # Let's print a summary of the model
    sl_model.summary()

    #I'd like to access to this file
    cbk = keras.callbacks.TensorBoard("logging/keras_model")

    print("\nStarting training...")
    sl_model.fit(x_train, y_train, epochs=epochs, batch_size=batch_size,
      shuffle=True, validation_data=(x_dev, y_dev), callbacks=[cbk])