如何修复“tensorflow.keras.layers”没有属性“input”
如何修复“tensorflow.keras.layers”没有属性“input”
提问于 2020-08-26 06:29:49
下面是我想要得到的字符串，但我不知道为什么我一直得到
tensorflow.keras.layers‘没有'input’属性，任何人都可以给出建议:)。
我不知道为什么，即使我已经调出了数据，它仍然说没有keras的输入。
import tensorflow as tf
from tensorflow.keras import layers
from tensorflow.keras import datasets
mnist = datasets.mnist
(train_x, train_y), (test_x, test_y) = mnist.load_data()
inputs = layers.input((28, 28, 1))
net = layers.Conv2D(32, (3, 3), padding ='SAME')(inputs)
net = layers.Activation('relu')(net)
net = layers.Conv2D(32, (3, 3), padding ='SAME')(net)
net = layers.Activation('relu')(net)
net = layers.MaxPooling2D(pool_size=(2, 2))(net)
net = layers.Dropout(0, 25)(net)
net = layers.Conv2D(64, (3, 3), padding ='SAME')(net)
net = layers.Activation('relu')(net)
net = layers.Conv2D(64, (3, 3), padding ='SAME')(net)
net = layers.Activation('relu')(net)
net = layers.MaxPooling2D(pool_size=(2, 2))(net)
net = layers.Dropout(0, 25)(net)
net = layers.Flatten()(net)
net = layers.Dense(512)(net)
net = layers.Activation('relu')(net)
net = layers.Dropout(0, 5)(net)
net = layers.Dense(10)(net)
net = layers.Activation('softmax')(net)
model = tf.keras.Model(inputs=inputs, outputs=net, name='Basic_CNN')
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-23-5b0ca3669e40> in <module>
----> 1 inputs = layers.input((28, 28, 1))
2 net = layers.Conv2D(32, (3, 3), padding ='SAME')(inputs)
3 net = layers.Activation('relu')(net)
4 net = layers.Conv2D(32, (3, 3), padding ='SAME')(net)
5 net = layers.Activation('relu')(net)
AttributeError: module 'tensorflow.keras.layers' has no attribute 'input'回答 1
Stack Overflow用户
发布于 2020-08-26 16:36:48
您必须使用Input而不是input。
你说的net = layers.Dropout(0, 25)(net)是什么意思？
我想你指的是net = layers.Dropout(0.25)(net)。
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原文链接：
https://stackoverflow.com/questions/63587984
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