随笔分类 - 机器学习

卷积

摘要：卷积在学习信号与系统时学习过卷积的定义。若

f (t), g (t) \(是 定 义 域 \) R

$f(t),g(t)$是定义域$\mathbb{R}$ 上的两个可积函数，则

y (t) = f (t) * g (t) = \int_{- \infty}^{\infty} f (τ) g (t - τ) d τ

$y(t)=f(t)*g(t)=\int_{-\infty}^{\infty}f(\tau)g(t-\tau)d\tau$ 注意积分号内两个函数的输入参数之和等于卷积阅读全文

posted @ 2022-03-23 20:56 煮茶听风雨编辑

【吴恩达】正则化

摘要：Chapter7 Regularization The problem of overfitting If we have too many features, the learned hypothesis may fit the training set very well, but fail t 阅读全文

posted @ 2022-03-17 22:01 煮茶听风雨阅读(31) 评论(0) 推荐(0) 编辑

【吴恩达】分类

摘要：Chapter6 Logistic Regression Hypothesis representation We want

0 \leq h_{θ} (x) \leq 1

$0\le h_\theta(x)\le 1$ , so defined sigmoid function(logistic function). \[ g(z)=\fra 阅读全文

posted @ 2022-03-17 18:28 煮茶听风雨阅读(51) 评论(0) 推荐(0) 编辑

【吴恩达】引言、线性回归、多项式回归

摘要：Machine Learning Chapter1 Introduction What is machine learning A computer program is said to learn from experience E with respect to some task T and 阅读全文

posted @ 2022-02-18 10:36 煮茶听风雨阅读(95) 评论(0) 推荐(0) 编辑