有关“使用Adam优化器,50个epoch和随机初始化嵌入,运行有feature map1,2和3的CNN模型。“的代码是什么
时间: 2023-02-08 15:14:45 浏览: 77
使用Adam优化器,50个epoch和随机初始化嵌入,运行有feature map1,2和3的CNN模型的代码可能如下:
```
from keras.optimizers import Adam
from keras.layers import Conv2D, Input, Embedding
from keras.models import Model
# define input layer
input_tensor = Input(shape=(height, width, channels))
# define feature map layers
conv_layer1 = Conv2D(filters=32, kernel_size=(3,3), activation='relu')(input_tensor)
conv_layer2 = Conv2D(filters=64, kernel_size=(3,3), activation='relu')(conv_layer1)
conv_layer3 = Conv2D(filters=128, kernel_size=(3,3), activation='relu')(conv_layer2)
# define embedding layer with random initialization
embedding_layer = Embedding(input_dim=vocab_size, output_dim=100,
embeddings_initializer='uniform')(conv_layer3)
# create model
model = Model(input_tensor, embedding_layer)
# compile model with Adam optimizer
model.compile(optimizer=Adam(), loss='categorical_crossentropy', metrics=['accuracy'])
# train model for 50 epochs
model.fit(X_train, y_train, epochs=50)
```
这只是一个示例代码, 真正的代码可能会有所不同,因为还需要考虑数据集,损失函数,评估指标等等.
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