tf.keras.layers.Permute
时间: 2023-10-21 08:28:37 浏览: 55
tf.keras.layers.Permute is a layer in the TensorFlow Keras API that permutes the dimensions of the input according to a specified pattern. It is commonly used in neural networks for rearranging the dimensions of the input tensor.
The Permute layer takes a single argument, which is the desired pattern of dimension reordering. This argument should be a tuple or list of integers representing the new order of dimensions. For example, if the input tensor has shape (batch_size, height, width, channels), and we want to permute it to have shape (batch_size, channels, height, width), we can use the Permute layer with the pattern (0, 3, 1, 2).
Here's an example usage of the Permute layer:
```python
import tensorflow as tf
model = tf.keras.Sequential()
model.add(tf.keras.layers.Permute((0, 3, 1, 2), input_shape=(32, 32, 3)))
```
In this example, the Permute layer is added to a Sequential model and specifies the pattern (0, 3, 1, 2), which means that the dimensions will be permuted from (batch_size, height, width, channels) to (batch_size, channels, height, width).
The Permute layer can be useful in various scenarios, such as when dealing with different data formats or when specific dimension ordering is required for certain operations within a neural network.
相关推荐
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)