请写一个二维卷积的网络
时间: 2024-03-30 15:15:15 浏览: 21
Sure, here is an example of a 2D convolutional network in Python using the Keras library:
```python
from keras.models import Sequential
from keras.layers import Conv2D, Flatten, Dense
model = Sequential()
# Add a convolutional layer with 32 filters, a kernel size of 3x3, and padding of "same"
model.add(Conv2D(32, (3, 3), padding="same", activation="relu", input_shape=(28, 28, 1)))
# Add another convolutional layer with 64 filters and a kernel size of 3x3
model.add(Conv2D(64, (3, 3), padding="same", activation="relu"))
# Add a flattening layer
model.add(Flatten())
# Add a fully connected layer with 128 neurons
model.add(Dense(128, activation="relu"))
# Add the output layer with 10 neurons for classification
model.add(Dense(10, activation="softmax"))
```
This is a basic architecture for a convolutional neural network (CNN) that can be used for image recognition tasks. The input layer is a 28x28 grayscale image, and the output layer has 10 neurons for classifying images into 10 categories. The convolutional layers help to extract features from the input images before passing them to the fully connected layers for classification.
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