我正在通过 Tarjan 的算法来使用 DFS 在图中查找关节点。
https://www.geeksforgeeks.org/articulation-points-or-cut-vertices-in-a-graph/
一些注释：
low[] : It is an array of N elements which stores the discovery time of every vertex. It is initialized by 0.
disc[]: It is an array of N elements which stores, for every vertex v, the discovery time of the earliest discovered vertex to which v or any of the vertices in the subtree rooted at v is having a back edge. It is initialized by INFINITY.
现在算法：
from collections import defaultdict …我有一个由一些密集层组成的 Keras Sequential 模型。我将整个模型的可训练属性设置为 False。但是我看到各个层的可训练属性仍然设置为 True。我是否需要单独将图层的可训练属性也设置为 False？那么在整个模型上将trainable property设置为False是什么意思呢？