摘要：
import torch import torch.nn as nn import numpy as np import torch.nn.functional as F class Model(nn.Module): def __init__(self): super().__init__() s 阅读全文
摘要：
class BatchNormalization(Module): def __init__(self, in_feature, momentum=0.9, eps=1e-8): self.mu = 0 self.var = 1 self.momentum = momentum self.eps = 阅读全文
摘要：
https://aistudio.baidu.com/aistudio/projectdetail/3391734?channelType=0&channel=0 直接通过https://aistudio.baidu.com/aistudio/projectoverview/public?kw=%2 阅读全文
摘要：
launch.json { // 使用 IntelliSense 了解相关属性。 // 悬停以查看现有属性的描述。 // 欲了解更多信息，请访问: https://go.microsoft.com/fwlink/?linkid=830387 "version": "0.2.0", "configur 阅读全文
摘要：
import cv2 dx0 = 0 dy0 = 0 isdown = False def callback(event, x, y, flags, userdata): global dx0,dy0,isdown color = 0, 255, 0 if flags & cv2.EVENT_FLA 阅读全文
摘要：
class Dropout(Module): def __init__(self, prob_keep=0.5, inplace=True): super().__init__("Dropout") self.prob_keep = prob_keep self.inplace = inplace 阅读全文
摘要：
import numpy as np import struct import random import matplotlib.pyplot as plt import pandas as pd import math class Dataset: def __init__(self, image 阅读全文
摘要：
import random import struct import numpy as np import pandas as pd def load_labels(file): with open(file, "rb") as f: data = f.read() magic_number, nu 阅读全文
摘要：
import numpy as np import struct import random import matplotlib.pyplot as plt import pandas as pd import math def load_labels(file): with open(file, 阅读全文
摘要：
做数字识别3，假设10个类别 3求sigmoid如上图的10个值 我们把对应的位置作为ont-hot编码就可以了 做sigmoid 阅读全文