在尝试文献中代码时发现tf.comtrib无法使用
官方文档中说
It is still possible to run 1.X code, unmodified (except for contrib), in TensorFlow 2.0:
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
除了contrib应该都用能两行代码解决问题,contrib则用keras.layers代替
model = tf.keras.Sequential([tf.keras.layers.Conv2D(32, 3, activation='relu',kernel_regularizer=tf.keras.regularizers.l2(0.04),input_shape=(28, 28, 1)),tf.keras.layers.MaxPooling2D(),tf.keras.layers.Flatten(),tf.keras.layers.Dropout(0.1),tf.keras.layers.Dense(64, activation='relu'),tf.keras.layers.BatchNormalization(),tf.keras.layers.Dense(10)
])
见：https://tensorflow.google.cn/guide/migrate?hl=en
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