net.build()
时间: 2024-05-23 21:14:44 浏览: 9
As an AI language model, I do not have access to the context of the code or the framework being used. However, in general, "net.build()" is a method that is used to construct a neural network model. It is often used in deep learning frameworks like TensorFlow or Keras. This method is used to define the architecture of the model by specifying the layers, nodes, and connections between them. After defining the architecture, the model is compiled and trained on the data.
相关问题
python mininet net.build()解释
在Mininet中,`net.build()`是用来创建和启动网络拓扑的方法。它会执行以下操作:
1. 创建并配置交换机和主机。
2. 根据拓扑图中的连接信息配置交换机和主机之间的连接。
3. 启动网络拓扑,使得交换机和主机可以相互通信。
在执行`net.build()`方法之前,需要先定义网络拓扑,包括交换机、主机、连接等信息。通过`mininet.topo.Topo`类可以实现拓扑的定义,具体可以参考Mininet的官方文档。
net = layers.Dense(10) net.build((4,8))
This code creates a neural network with one dense layer containing 10 neurons. The network is then built with an input shape of (4,8), meaning that it can accept input data with 4 rows and 8 columns. The weights for the layer will be initialized during training.
相关推荐
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![rar](https://img-home.csdnimg.cn/images/20210720083606.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)