Analysis of underlying principle of NSObject

NSObject is the root class of most class hierarchies in Objective-C. usually, when using NSObject objects, we will use [[NSObject alloc] init] or [NSObject new] to create object instances. Through this article, we will study the object creation process of NSObject together. initialization Call alloc mode When we call the [NSObject alloc] ...

Posted by dotMoe on Mon, 21 Feb 2022 12:14:35 +0100

Implementation of sparse array in Java language

Sparse array About the author Author introduction ๐Ÿ“ Blog home page: Author URI ๐Ÿ“ Introduction: high quality creator in JAVA field ๐Ÿฅ‡, A junior at school ๐ŸŽ“, During school, he participated in various provincial and national competitions and won a series of honors ๐Ÿ† ๐Ÿ“ Pay attention to me: pay attention to my learning materials and ...

Posted by will on Mon, 21 Feb 2022 12:03:29 +0100

pinia introduction and setup syntax

pinia introduction and setup syntax 1. Basic characteristics of Pinia pinia is also a Vue state management tool, which has many similarities with vuex. In essence, he was developed by the core members of vuex team, and put forward some improvements on vuex. Compared with vuex, pinia removes the distinction between synchronous function Mutatio ...

Posted by dk4210 on Mon, 21 Feb 2022 11:59:16 +0100

ES6 of JavaScript improvement class

A trip to the Empire?? content address Summary of JavaScript Foundation (I)?? https://blog.csdn.net/Augenstern_QXL/article/details/119249534 Function and scope of JavaScript Foundation (2)?? https://blog.csdn.net/Augenstern_QXL/article/details/119250991 JavaScript based objects and built-in objects (3)?? https://blog.csdn.net/Augenstern ...

Posted by The Stranger on Mon, 21 Feb 2022 11:53:22 +0100

Chapter II linearity table

1, Definition (logical structure) and basic operation (operation) of linear table Definition: a linear table is a finite sequence of n (n > = 0) data elements with the same data type, where n is the table length. When n = 0, the linear table is an empty table. If L is used to name the linear table, it is generally expressed as L = (a1 , a2 ...

Posted by elgordo1960 on Mon, 21 Feb 2022 11:50:09 +0100

JavaScript advanced tutorial (object-oriented programming)

catalogue object-oriented programming Classes and objects in ES6 Constructors and prototypes Object prototype__ proto__ Constructor constructor The relationship among constructor, instance and prototype object Prototype chain Extend built-in objects inherit object-oriented programming There are two major programming ideas: process ...

Posted by GiaTuan on Mon, 21 Feb 2022 11:45:46 +0100

Built in objects for JavaScript

catalogue 1, Number? 1. isFinite() 2.?isInteger() 3. isNaN() 4. parseFloat() 5. parseInt() 2, String 1. indexOf() 2. replace() 3. search() 4. concat() 5. split() 6. slice() 7. substr() 8. substring() 9. includes() 3, Array 1. join() 2. push() 3. pop() 4. shift() 5. reverse() 6. filter() 7. forEach() 8. find() 4, Object ...

Posted by PickledOnion on Mon, 21 Feb 2022 11:42:06 +0100

Function and scope of JavaScript Foundation

A trip to the Empire?? content address Summary of JavaScript Foundation (I)?? https://blog.csdn.net/Augenstern_QXL/article/details/119249534 Function and scope of JavaScript Foundation (2)?? https://blog.csdn.net/Augenstern_QXL/article/details/119250991 JavaScript based objects and built-in objects (3)?? https://blog.csdn.net/Augenstern ...

Posted by beginneratphp on Mon, 21 Feb 2022 11:37:34 +0100

[Python tutorial] Chapter 59 variable parameters for advanced functions

In this article, we will learn how to use the * args parameter to define a variable function. Tuple unpacking The following example unpacks a tuple into two variables: x, y = 10, 20 Element 10 is given variable x and element 20 is given variable y. In fact, the parameters of the function are similar: def add(x, y): return x + y add ...

Posted by geecu on Mon, 21 Feb 2022 11:08:01 +0100

Model fine tuning technology

1, Common skills in transfer learning: fine tuning 1.1 concept Take the weights trained on the big data set as the initialization weight of the specific task (small data set), and retrain the network (modify the full connection layer output as needed); The training methods can be: 1. Fine tune all layers; 2. Fix the weights of the front l ...

Posted by daanoz on Mon, 21 Feb 2022 10:51:38 +0100