输出结果代码设计import osos.environ['TF_CPP_MIN_LOG_LEVEL']='2' import tensorflow as tfimport numpy as npx_data=np.random.rand(100).astype(np.float32)y_data=x_data*0.1+0.3 Weights=tf.Variable(tf.random_uniform([1],-1.0,1.0...
代码设计#DL:基于sklearn的加利福尼亚房价数据集实现GD算法import tensorflow as tfimport numpy as np from sklearn.datasets import fetch_california_housing from sklearn.preprocessing import StandardScaler scaler=StandardScaler...
解题思路:略。AC 代码#include<bits/stdc++.h>#include<cmath>#define mem(a,b)memset(a,b,sizeof a);using namespace std;typedef long long ll;const int maxn=20;int G[maxn][maxn],vis[maxn];int n,m;void init(){ mem(G,0);...