Python Tensorflow ValueError:无法将字符串转换为浮点：'；MXHbacc3'；

我试着建立人工神经网络， 但它不起作用。 我该怎么做

model=Sequential（）
添加（密集型（输出尺寸=12，输入尺寸=4，初始=正常，激活=S形）
__main_uuu:1:UserWarning:更新对Keras 2 API的'Dense'调用：'Dense（input_dim=4，activation=“sigmoid”，kernel_initializer=“normal”，units=12）`
添加（密集（输出尺寸=1，初始=正常，激活=线性）
compile（loss='mean\u squared\u error'，optimizer='adam'）
模型拟合（X_序列，Y_序列，nb_历元=1000，批量大小=100，详细度=0）

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您的代码确实很难阅读，代码和错误应该在不同的位置。但问题很可能与您的数据有关，而与此处显示的内容无关。删除虚拟环境不会有多大作用。

2019-09-25 22:11:17.983801: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.2
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/kimsohyeon/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/engine/training.py", line 1039, in fit
    validation_steps=validation_steps)
  File "/Users/kimsohyeon/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/engine/training_arrays.py", line 199, in fit_loop
    outs = f(ins_batch)
  File "/Users/kimsohyeon/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 2721, in __call__
    return self._legacy_call(inputs)
  File "/Users/kimsohyeon/anaconda3/envs/tensorflow/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 2693, in _legacy_call
    **self.session_kwargs)
  File "/Users/kimsohyeon/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 895, in run
    run_metadata_ptr)
  File "/Users/kimsohyeon/anaconda3/envs/tensorflow/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1097, in _run
    np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
  File "/Users/kimsohyeon/anaconda3/envs/tensorflow/lib/python3.5/site-packages/numpy/core/numeric.py", line 492, in asarray
    return array(a, dtype, copy=False, order=order)

ValueError: could not convert string to float: 'MXHbacc3'

>>> tf.__version__
'1.5.0