model.summary()代码举例
时间: 2024-02-13 11:06:15 浏览: 26
下面是一个使用Keras构建的简单神经网络模型,示例代码中展示了如何使用`model.summary()`方法输出模型的结构信息:
```python
from keras.models import Sequential
from keras.layers import Dense, Dropout
# 构建模型
model = Sequential()
model.add(Dense(64, input_dim=100, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(32, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(1, activation='sigmoid'))
# 输出模型结构信息
model.summary()
```
输出结果如下所示:
```
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense_1 (Dense) (None, 64) 6464
_________________________________________________________________
dropout_1 (Dropout) (None, 64) 0
_________________________________________________________________
dense_2 (Dense) (None, 32) 2080
_________________________________________________________________
dropout_2 (Dropout) (None, 32) 0
_________________________________________________________________
dense_3 (Dense) (None, 1) 33
=================================================================
Total params: 8,577
Trainable params: 8,577
Non-trainable params: 0
_________________________________________________________________
```
输出内容包括每一层的名称、输出形状、参数数量以及总参数数量等信息。这有助于我们更好地理解和调试模型。
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