如何用markdown中的mermaid快速画出不好看的神经网络

如何用markdown中的mermaid快速画出不好看的神经网络

目录

用flowchart或graph😭

def gen_mm_nngraph(firstlayer_str,firstlayer_len,secondlayer_str,secondlayer_len,isformat=False):
    for i in range(firstlayer_len):
        for j in range(secondlayer_len):
            print(";{}_{}--->{}_{}".format(firstlayer_str,i,secondlayer_str,j),end="")
        if isformat:
            print("") #打印换行
            
print("flowchart LR")
gen_mm_nngraph("a0",3,"a1",4)
gen_mm_nngraph("a1",4,"a2",4)
gen_mm_nngraph("a2",4,"a3",4)
gen_mm_nngraph("a3",4,"a4",1)

粘贴到markdown中的mermaid后如下所示：

```mermaid
[将上面代码生成的一堆字符串粘贴在这里]
```

下面的是flowchart效果

flowchart LR ;a0_0--->a1_0;a0_0--->a1_1;a0_0--->a1_2;a0_0--->a1_3;a0_1--->a1_0;a0_1--->a1_1;a0_1--->a1_2;a0_1--->a1_3;a0_2--->a1_0;a0_2--->a1_1;a0_2--->a1_2;a0_2--->a1_3;a1_0--->a2_0;a1_0--->a2_1;a1_0--->a2_2;a1_0--->a2_3;a1_1--->a2_0;a1_1--->a2_1;a1_1--->a2_2;a1_1--->a2_3;a1_2--->a2_0;a1_2--->a2_1;a1_2--->a2_2;a1_2--->a2_3;a1_3--->a2_0;a1_3--->a2_1;a1_3--->a2_2;a1_3--->a2_3;a2_0--->a3_0;a2_0--->a3_1;a2_0--->a3_2;a2_0--->a3_3;a2_1--->a3_0;a2_1--->a3_1;a2_1--->a3_2;a2_1--->a3_3;a2_2--->a3_0;a2_2--->a3_1;a2_2--->a3_2;a2_2--->a3_3;a2_3--->a3_0;a2_3--->a3_1;a2_3--->a3_2;a2_3--->a3_3;a3_0--->a4_0;a3_1--->a4_0;a3_2--->a4_0;a3_3--->a4_0

下面的是graph效果，把上面代码的flowchart改为graph即可

graph LR ;a0_0--->a1_0;a0_0--->a1_1;a0_0--->a1_2;a0_0--->a1_3;a0_1--->a1_0;a0_1--->a1_1;a0_1--->a1_2;a0_1--->a1_3;a0_2--->a1_0;a0_2--->a1_1;a0_2--->a1_2;a0_2--->a1_3;a1_0--->a2_0;a1_0--->a2_1;a1_0--->a2_2;a1_0--->a2_3;a1_1--->a2_0;a1_1--->a2_1;a1_1--->a2_2;a1_1--->a2_3;a1_2--->a2_0;a1_2--->a2_1;a1_2--->a2_2;a1_2--->a2_3;a1_3--->a2_0;a1_3--->a2_1;a1_3--->a2_2;a1_3--->a2_3;a2_0--->a3_0;a2_0--->a3_1;a2_0--->a3_2;a2_0--->a3_3;a2_1--->a3_0;a2_1--->a3_1;a2_1--->a3_2;a2_1--->a3_3;a2_2--->a3_0;a2_2--->a3_1;a2_2--->a3_2;a2_2--->a3_3;a2_3--->a3_0;a2_3--->a3_1;a2_3--->a3_2;a2_3--->a3_3;a3_0--->a4_0;a3_1--->a4_0;a3_2--->a4_0;a3_3--->a4_0

用stateDiagram-v2🤦‍♂️🤦‍♀️

将上面的函数随便改改我们可以得到（主要是为了符合stateDiagram-v2的连接方法）：

def gen_mm_nnstateDiagram(firstlayer_str,firstlayer_len,secondlayer_str,secondlayer_len):
    for i in range(firstlayer_len):
        for j in range(secondlayer_len):
            print("{}_{} --> {}_{}".format(firstlayer_str,i,secondlayer_str,j))

print("stateDiagram-v2")
gen_mm_nnstateDiagram("a0",3,"a1",4)
gen_mm_nnstateDiagram("a1",4,"a2",4)
gen_mm_nnstateDiagram("a2",4,"a3",4)
gen_mm_nnstateDiagram("a3",4,"a4",1)
stateDiagram-v2 a0_0 --> a1_0 a0_0 --> a1_1 a0_0 --> a1_2 a0_0 --> a1_3 a0_1 --> a1_0 a0_1 --> a1_1 a0_1 --> a1_2 a0_1 --> a1_3 a0_2 --> a1_0 a0_2 --> a1_1 a0_2 --> a1_2 a0_2 --> a1_3 a1_0 --> a2_0 a1_0 --> a2_1 a1_0 --> a2_2 a1_0 --> a2_3 a1_1 --> a2_0 a1_1 --> a2_1 a1_1 --> a2_2 a1_1 --> a2_3 a1_2 --> a2_0 a1_2 --> a2_1 a1_2 --> a2_2 a1_2 --> a2_3 a1_3 --> a2_0 a1_3 --> a2_1 a1_3 --> a2_2 a1_3 --> a2_3 a2_0 --> a3_0 a2_0 --> a3_1 a2_0 --> a3_2 a2_0 --> a3_3 a2_1 --> a3_0 a2_1 --> a3_1 a2_1 --> a3_2 a2_1 --> a3_3 a2_2 --> a3_0 a2_2 --> a3_1 a2_2 --> a3_2 a2_2 --> a3_3 a2_3 --> a3_0 a2_3 --> a3_1 a2_3 --> a3_2 a2_3 --> a3_3 a3_0 --> a4_0 a3_1 --> a4_0 a3_2 --> a4_0 a3_3 --> a4_0

画好看的神经网络的方法😍

posted @ 2022-07-19 12:07  Link_kingdom  阅读(472)  评论(0)  编辑  收藏  举报