Tag: repr

Representation of Redis string

Representation of string Redis is developed in C language, but the string type used by Redis does not adopt the string type of C language. Next, let’s take a look at why such a design is adopted. The c language represents a string as a character array, ending with a character like ‘\0‘ 1. Representation […]

Shiro deserialization vulnerability principle analysis and vulnerability reproduction (CVE-2016-4437)

Table of Contents Shiro-550 Deserialization Vulnerability Vulnerability introduction Vulnerability principle Shiro-721 Deserialization Vulnerability (CVE-2019-12422) What is the difference between Shiro550 and Shiro721 vulnerability fingerprint Vulnerability introduction Vulnerability principle Attack process Vulnerability recurrence: CVE-2016-4437 Vulnerability recurrence: CVE-2019-12422 Shiro-550 Deserialization Vulnerability Vulnerability Introduction shiro-550 is mainly a command execution vulnerability caused by the deserialization of shiro’s rememberMe […]

4 Tensorflow image recognition model (Part 1) data preprocessing

Previous article: 3 Detailed explanation of tensorflow model construction-CSDN blog This article begins by introducing the model for identifying cat and dog pictures. It has a lot of content and will be divided into multiple chapters. Model building is still the same process as before: Dataset preparation Data preprocessing Create model Set up loss function […]

Minesweeper – including blank expansion, marking function, game interface optimization – fully reproduced on the console

Table of Contents introduce Ideas Involving header file index main function Branch function function implementation Sum of codes—CV can be played Introduction I accidentally played the game Minesweeper in the past two days. I played Minesweeper owned by Microsoft. I feel that it is much better than the simple interface before. I feel that minesweeper […]

[RNN+Encrypted Traffic A] ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for…

Article directory Introduction to the paper Summary Problems Paper contribution 1.ET-BERT 2. Experiment Summarize Paper content data set Readable citations Reference connection Introduction to the paper Original title: ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification Chinese title: ET-BERT: A datagram contextual representation method based on pre-trained transformers for encrypted traffic […]

Big data preprocessing and collection experiment three: Urllib’s GET and POST requests (1)

Table of Contents Urllib basic operations-GET ?No UTF-8 encoded output ?Output after utf-8decode ? Timeout parameter: capture exceptions caused by connection timeout ◆Basic operation of Urllib-customized request header ? Add multiple access parameters to the GET request ◆Basic operation of Urllib-POST ?Youdao Dictionary web crawling: Headers of the found data packets can record the relevant […]

Current status of knowledge representation models – related to symbolic representation

The concept of the Semantic Web was proposed by Tim Berners Lee, the inventor of the World Wide Web, in 1996. The goal is to convert current information into machine-friendly language. The Semantic Web is not an independent network, but an extension of the current network. It empowers The clear meaning of information makes it […]

Variations-of-SFANet-for-Crowd-Counting code reproduction

The previous article did a basic review of Variations-of-SFANet-for-Crowd-Counting, and verified the visual code of the open source framework. The link is as follows: Variations-of-SFANet-for-Crowd-Counting Record-CSDN Blog Variations-of-SFANet-for-Crowd-Counting visualization code-CSDN blog Here are relevant reproductions of the training and testing code. train.py code test (1) Pre-training weights Since the training code has pre-trained weights, from: […]

[Data Mining | Data Preprocessing] Missing value processing & duplicate value processing & text processing Are you sure you want to take a look?

?♂? Personal homepage: @AI_magician Homepage address: About the author: CSDN content partner, high-quality creator in the full-stack field. ?Vision: Aiming to grow together with more partners who love computers! ! ? ?♂?Statement: I am currently a sophomore in college, and my research interests include artificial intelligence & hardware (although I haven’t started playing with hardware […]