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2020-10-19 21:48:57

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wizardforcel
2020-10-19 21:48:57 +08:00
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docs/pytorch/07.md
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@@ -8,7 +8,7 @@
Torch 中的激励函数有很多, 不过我们平时要用到的就这几个.  relu, sigmoid, tanh, softplus . 那我们就看看他们各自长什么样啦.
```
```py
import torch
import torch.nn.functional as F # 激励函数都在这
from torch.autograd import Variable
@@ -20,7 +20,7 @@ x = Variable(x)
接着就是做生成不同的激励函数数据:
```
```py
x_np = x.data.numpy() # 换成 numpy array, 出图时用
# 几种常用的 激励函数
@@ -35,7 +35,7 @@ y_softplus = F.softplus(x).data.numpy()
![](img/f1108a1b6941305fa7a39e488c023fe9.png)
```
```py
import matplotlib.pyplot as plt # python 的可视化模块, 我有教程 (https://morvanzhou.github.io/tutorials/data-manipulation/plt/)
plt.figure(1, figsize=(8, 6))