请列举一下神经网络模型
时间: 2024-05-21 13:02:36 浏览: 14
可以的,神经网络模型有很多种,比如全连接神经网络(Fully Connected Neural Network),卷积神经网络(Convolutional Neural Network),循环神经网络(Recurrent Neural Network),长短时记忆神经网络(Long Short-Term Memory),自注意力机制神经网络(Transformer),等等。
相关问题
列举图卷积神经网络回归分析模型
```python
import torch
import torch.nn as nn
import torch.nn.functional as F
class GraphConvolution(nn.Module):
def __init__(self, in_features, out_features):
super(GraphConvolution, self).__init__()
self.weight = nn.Parameter(torch.FloatTensor(in_features, out_features))
self.bias = nn.Parameter(torch.FloatTensor(out_features))
def forward(self, input, adj):
support = torch.mm(input, self.weight)
output = torch.spmm(adj, support)
return output + self.bias
class GCN(nn.Module):
def __init__(self, nfeat, nhid, nclass):
super(GCN, self).__init__()
self.gc1 = GraphConvolution(nfeat, nhid)
self.gc2 = GraphConvolution(nhid, nclass)
def forward(self, x, adj):
x = F.relu(self.gc1(x, adj))
x = self.gc2(x, adj)
return x
```
请列举出所有深度学习网络模型
1. 前馈神经网络(feedforward neural network)
2. 卷积神经网络(convolutional neural network)
3. 递归神经网络(recurrent neural network)
4. 长短时记忆网络(Long Short-Term Memory network,LSTM)
5. 双向循环神经网络(Bidirectional recurrent neural network,BRNN)
6. 自编码器(autoencoder)
7. 生成对抗网络(Generative Adversarial Network,GAN)
8. 强化学习神经网络(Reinforcement Learning Neural Network,RLNN)
9. 注意力机制神经网络(Attention Mechanism Neural Network)
10. 分层式注意力机制神经网络(Hierarchical Attention Mechanism Neural Network,HAMNN)等。
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