将一维CBAM注意力模型代码写入堆叠自编码器中适用于keras
时间: 2024-06-09 09:08:05 浏览: 15
下面是将一维CBAM注意力模型代码嵌入到Keras堆叠自编码器中的示例代码:
```python
from keras.layers import Input, Dense, Conv1D, MaxPooling1D, UpSampling1D, Reshape, Flatten, Multiply, Add
from keras.models import Model
# 定义输入层
input_layer = Input(shape=(input_shape,))
# 编码器部分
encoded = Reshape((input_shape, 1))(input_layer)
encoded = Conv1D(filters=16, kernel_size=3, activation='relu', padding='same')(encoded)
encoded = MaxPooling1D(pool_size=2)(encoded)
encoded = Conv1D(filters=32, kernel_size=3, activation='relu', padding='same')(encoded)
encoded = MaxPooling1D(pool_size=2)(encoded)
encoded = Conv1D(filters=64, kernel_size=3, activation='relu', padding='same')(encoded)
encoded = MaxPooling1D(pool_size=2)(encoded)
encoded = Flatten()(encoded)
# CBAM注意力模型
attention = Dense(units=64, activation='relu')(encoded)
attention = Dense(units=64, activation='relu')(attention)
attention = Dense(units=1, activation='sigmoid')(attention)
attention = Reshape((1, 64))(attention)
encoded = Reshape((64,))(encoded)
encoded = Multiply()([encoded, attention])
encoded = Dense(units=64, activation='relu')(encoded)
# 解码器部分
decoded = Dense(units=256, activation='relu')(encoded)
decoded = Reshape((16, 16))(decoded)
decoded = Conv1D(filters=64, kernel_size=3, activation='relu', padding='same')(decoded)
decoded = UpSampling1D(size=2)(decoded)
decoded = Conv1D(filters=32, kernel_size=3, activation='relu', padding='same')(decoded)
decoded = UpSampling1D(size=2)(decoded)
decoded = Conv1D(filters=16, kernel_size=3, activation='relu', padding='same')(decoded)
decoded = UpSampling1D(size=2)(decoded)
decoded = Conv1D(filters=1, kernel_size=3, activation='sigmoid', padding='same')(decoded)
decoded = Reshape((input_shape,))(decoded)
# 构建自编码器模型
autoencoder = Model(inputs=input_layer, outputs=decoded)
# 编译模型
autoencoder.compile(optimizer='adam', loss='binary_crossentropy')
# 打印模型结构
autoencoder.summary()
```
在上面的代码中,我们先定义了输入层,然后构建了编码器和解码器部分。接着,在编码器部分添加了CBAM注意力模型,这里使用了Dense层和Multiply层实现了注意力机制。最后,我们将编码器和解码器部分连接起来,构建了完整的自编码器模型。
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