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4 Let Them Stress You Out
276 2025-05-28 《The Let Them Theory: A Life-Changing Tool That Millions of People Can’t Stop Talking About》[CHAPTER 4] You Control Your Next Move [CHAPTER 4] [Let Them Stress You Out] What about practicingLet Them andLet Me when it comes to something or someone that triggers your s... -
快速上手
Hello World 如何调试 如何新增一个Controller 如何使用models/dao 如何使用models/service -
6 How to Love Difficult People
270 2025-05-28 《The Let Them Theory: A Life-Changing Tool That Millions of People Can’t Stop Talking About》[CHAPTER 6] Frame of Reference [CHAPTER 6] [How to Love Difficult People] In my opinion, it’s easier to use the Let Them Theory with strangers, co-workers, and even friends, b... -
PyTorch 深度学习：60分钟快速入门
PyTorch 深度学习：60分钟快速入门 什么是 PyTorch？ 本次教程的目标： PyTorch 深度学习：60分钟快速入门 原文：https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html 作者 ： Soumith Chintala https:/... -
PyTorch：optim
PyTorch：optim PyTorch：optim 原文：https://pytorch.org/tutorials/beginner/examples_nn/polynomial_optim.html#sphx-glr-beginner-examples-nn-polynomial-optim-py 经过训练的三阶多项式，可以通过最... -
四、图像预处理
四、图像预处理 图像二值化 图像模糊 图像剪裁 边缘检测 增强彩色图像的对比度 增强灰度图像的对比度 Harris 角点检测 安装 OpenCV 颜色隔离 加载图像 背景移除 保存图像 图像锐化 Shi-Tomasi 角点检测 使用颜色均值作为特征 四、图像预处理 作者：Chris Albon 译者：飞龙 协议：CC ... -
torchvision.datasets
torchvision.datasets MNIST Fashion-MNIST COCO Captions Detection LSUN ImageFolder Imagenet-12 CIFAR STL10 SVHN PhotoTour torchvision.datasets 译者：@那伊抹微笑 、@dawenzi123... -
14 People Only Change When They Feel Like It
239 2025-05-28 《The Let Them Theory: A Life-Changing Tool That Millions of People Can’t Stop Talking About》[CHAPTER 14] Wishing Someone Would Change Why Is Change So Hard? Truth #1: Adults only change when they feel like it. Truth #2: Human beings are wired to move toward what feels g... -
PYTHORCH: NN
PYTHORCH: NN PYTHORCH: NN 原文：https://pytorch.org/tutorials/beginner/examples_nn/polynomial_nn.html#sphx-glr-beginner-examples-nn-polynomial-nn-py 校对：DrDavidS 一个三阶多项式，通过最小化... -
PyTorch: 变量和autograd
PyTorch: 变量和autograd PyTorch: 变量和autograd 译者：@yongjay13 、@speedmancs 校对者：@bringtree 本例中的全连接神经网络有一个隐藏层, 后接ReLU激活层, 并且不带偏置参数. 训练时通过最小化欧式距离的平方, 来学习从x到y的映射. 在实现中, 我们将使用PyTo...
