我正在使用one of the Deep Learning With Python notebooks（第二版）
当我在单元格1中运行以下代码时--

from tensorflow.keras import layers

model = keras.Sequential([
    layers.Dense(64, activation="relu"),
    layers.Dense(10, activation="softmax")
])

我立即得到这个错误，我不知道如何修复：

/usr/local/lib/python3.8/dist-packages/tensorflow/python/framework/dtypes.py:585: 
FutureWarning: In the future `np.object` will be defined as the corresponding NumPy scalar.
  np.object,
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_1679/4031490511.py in <module>
----> 1 from tensorflow import keras
      2 from tensorflow.keras import layers
      3 
      4 model = keras.Sequential([
      5     layers.Dense(64, activation="relu"),

...然后是一系列其他导入错误，然后是这个：

583     # strings.
    584     types_pb2.DT_STRING:
--> 585         np.object,
    586     types_pb2.DT_COMPLEX64:
    587         np.complex64,

/usr/local/lib/python3.8/dist-packages/numpy/__init__.py in __getattr__(attr)
    303 
    304         if attr in __former_attrs__:
--> 305             raise AttributeError(__former_attrs__[attr])
    306 
    307         # Importing Tester requires importing all of UnitTest which is not a

AttributeError: module 'numpy' has no attribute 'object'.
`np.object` was a deprecated alias for the builtin `object`. To avoid this error in existing code, use `object` by itself. Doing this will not modify any behavior and is safe. 
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

然后我想也许我有一个旧版本的Keras，所以我首先查看了https://github.com/keras-team/keras/releases上的Keras更新日志，但我找不到任何与numpy或object有关的东西，所以我试图从终端获取我正在使用的版本：
python3 -c 'import keras; print(keras.__version__)'
但它立即给了我同样的错误。
任何帮助赞赏！