Zhentiw - 博客园

2020年8月27日

摘要： In contrast to other built-ins, Arrays can be wrapped transparently: const p = new Proxy(new Array(), {}); p.push('a'); assert.equal(p.length, 1); p.l 阅读全文

posted @ 2020-08-27 02:52 Zhentiw 阅读(163) 评论(0) 推荐(0)

[Javascript] Wrap a Javascript Built-in constructor with Proxy

摘要： Instances of most built-in constructors also use a mechanism that is not intercepted by Proxies. They therefore can’t be wrapped transparently, either 阅读全文

posted @ 2020-08-27 02:50 Zhentiw 阅读(145) 评论(0) 推荐(0)

[Javascript] Implementing proxy handler with Proxy

摘要： For a Proxy, function signature looks like: const target = {} const handler = { get(target, propKey) { return Reflect.get(target, propKey) } } const p 阅读全文

posted @ 2020-08-27 02:46 Zhentiw 阅读(138) 评论(0) 推荐(0)

2020年8月26日

[Machine Learning] Cost Function for Logistic Regression Model

摘要： We cannot use the same cost function that we use for linear regression because the Logistic Function will cause the output to be wavy, causing many lo 阅读全文

posted @ 2020-08-26 15:52 Zhentiw 阅读(232) 评论(0) 推荐(0)

2020年8月25日

[React] Styled System with extendable Box element

摘要： You can have a Box element, which just used for create other element or layout: // example Box.js import styled from 'styled-components' import { spac 阅读全文

posted @ 2020-08-25 01:55 Zhentiw 阅读(180) 评论(0) 推荐(0)

2020年8月24日

[CSS] Use grid-template to make your CSS Grid declarations more readable

摘要： In previous post: https://www.cnblogs.com/Answer1215/p/13527076.html Code: .banner { display: grid; grid-template-columns: 2fr 1fr 1fr; grid-template- 阅读全文

posted @ 2020-08-24 15:12 Zhentiw 阅读(146) 评论(0) 推荐(0)

[Machine Learning Ex2] Linear Regression with Multiple Variables

摘要： x2: midterm exam ^ 2, apply mean normalization: mean value = (7921 + 5184 + 8836 +4761) / 4 = 6675.5 range = 8836-4761 = 4075 ans = (4761 - 6675./5) / 阅读全文

posted @ 2020-08-24 02:05 Zhentiw 阅读(190) 评论(0) 推荐(0)

[Machine Learning] Normal Equation Noninvertibility

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posted @ 2020-08-24 01:29 Zhentiw 阅读(129) 评论(0) 推荐(0)

[Machine Learning] Normal Equation for linear regression

摘要： We have used gradient descent where in order to minimize the cost function J(theta), we would take this iterative algorithm that takes many steps, mul 阅读全文

posted @ 2020-08-24 01:20 Zhentiw 阅读(201) 评论(0) 推荐(0)

2020年8月23日

[React] Use react styled system with styled components

摘要： In this lesson we’ll improve a generic button primitive component by refactoring it with Styled System to simplify the implementation. The naïve style 阅读全文

posted @ 2020-08-23 03:02 Zhentiw 阅读(372) 评论(0) 推荐(0)

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