在NoteBook中执行TensorFlow时，Python遇到AttributeError: 'NoneType' object has no attribute 'xxx'类型的报错。

原因分析：Notebook里往往是分段的执行代码逻辑，该错误就是因为相应的引用没有读取到；

解决方案：在对应的执行代码逻辑分段上，添加上引用的逻辑，即添加对应的Import TensorFlow and other libraries。如：

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import tensorflow as tf

from sklearn.metrics import accuracy_score, precision_score, recall_score
from sklearn.model_selection import train_test_split
from tensorflow.keras import layers, losses
from tensorflow.keras.datasets import fashion_mnist
from tensorflow.keras.models import Model

code1
code2
code3
code4
code5

另一个报错： ValueError: Shape must be rank 1 but is rank 2 for 'strided_slice_29' (op: 'StridedSlice') with input shapes:

解决方案：将TensorFlow的Tensor转化为numpy.array格式，以numpy.array格式进行类型转化np.float，.astype(bool)和掩码取数组train_data[bool array]。

mask = (data['label'] == 1)

X_train, X_test = train_test_split(data[mask], test_size=0.2, random_state=920)

X_train = X_train.drop(['label'], axis=1).values

X_test = X_test.drop(['label'], axis=1).values