Question

尝试通过以下代码构建图层，但出现错误

import tensorflow as tf
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten, Conv2D, MaxPooling2D

X = pickle.load(open("X.pickle","rb"))
y = pickle.load(open("y.pickle","rb"))
X = X/255.0

model = Sequential()

model.add(Conv2D(64,(3,3) , input_shape = X.shape[1:]))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add((Conv2D(64, (3,3)))
model.add(Activation("relu"))
model.add(MaxPooling2D(pool_size=(2,2)))

model.add(Flatten())
model.add(Dense(64))

model.add(Dense(1))
model.add(Activation('sigmoid'))

model.compile(loss="binary_crossentropy",
             optimizer="adam",
             metrics=['accuracy'])

model.fit(X, y, batch_size=1, validation_split=0.1)

请有人帮忙。我在python 2.7环境中使用jupyter notebook，上面的代码返回：

File "<ipython-input-37-f4c444b06108>", line 16
    model.add(Activation("relu"))
        ^
SyntaxError: invalid syntax

Answer 1

此错误通常表示报告的行上方没有正确结束。请注意，第15行上有一个多余的括号；;）

model.add((Conv2D(64, (3,3))) # <--- 4 open, 3 closed
model.add(Activation("relu"))

keras激活功能层：model.add Activation（'relu'）给出无效的语法错误

1 个答案: