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
๐ Blog home page: Author URI ๐ Introduction: high quality creator in JAVA field ๐ฅ, A junior at school ๐, During school, he participated in various provincial and national competitions and won a series of honors ๐ ๐ 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