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RSS订阅原创 图片卷积后的特征图可视化
import torchimport torch.nn as nnimport numpy as npimport matplotlib.pyplot as pltimport matplotlibimage = np.array(plt.imread('/Users/mac/Desktop/22222.jpeg'))plt.imshow(image)plt.show()net = nn.Sequential(nn.Conv2d(3,3,11))x = np.array(plt.imre.
2022-05-02 20:28:45
1430
原创 随机森林图片分类
#os为了下面获取图片路径import os, globimport matplotlib.pyplot as pltimport numpy as npfrom PIL import Imagefrom sklearn.decomposition import PCAimport tensorflowfrom tensorflow import keras#total_num = 5970 # 训练集总计和#train_num = 5970 # 训练集实际训练数字，20的验证集d.
2022-05-02 20:25:51
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原创 支持向量机做图片分类
#os为了下面获取图片路径import os, globimport matplotlib.pyplot as pltimport numpy as npfrom PIL import Imagefrom sklearn.decomposition import PCAimport tensorflowfrom tensorflow import keras#total_num = 5970 # 训练集总计和#train_num = 5970 # 训练集实际训练数字，20的验证集d.
2022-05-02 20:21:33
402
原创 随机森林预测房价
import pandas as pdimport numpy as np#metrics为评价函数调用各种误差from sklearn import metricsfrom sklearn.metrics import r2_score#sqrt为平方根from math import sqrt# 载入数据;中文字符为主采用gbk编码，多种语言使用utf-8编码features = pd.read_csv('/Users/mac/Desktop/111.csv', encoding='ut
2022-04-02 14:25:46
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