Course 9302
Course Introduction:Sina SEA open platform development documents
Course 2857
Course Introduction:Course introduction: 1. Cross-domain processing, token management, route interception; 2. Real interface debugging, API layer encapsulation; 3. Secondary encapsulation of Echarts and paging components; 4. Vue packaging optimization and answers to common problems.
Course 1795
Course Introduction:Apipost is an API R&D collaboration platform that integrates API design, API debugging, API documentation, and automated testing. It supports grpc, http, websocket, socketio, and socketjs type interface debugging, and supports privatized deployment. Before formally learning ApiPost, you must understand some related concepts, development models, and professional terminology. Apipost official website: https://www.apipost.cn
Course 5521
Course Introduction:(Consult WeChat: phpcn01) The comprehensive practical course aims to consolidate the learning results of the first two stages, achieve flexible application of front-end and PHP core knowledge points, complete your own projects through practical training, and provide guidance on online implementation. Comprehensive practical key practical courses include: social e-commerce system backend development, product management, payment/order management, customer management, distribution/coupon system design, the entire WeChat/Alipay payment process, Alibaba Cloud/Pagoda operation and maintenance, and project online operation. .....
Course 5172
Course Introduction:(Consult WeChat: phpcn01) Starting from scratch, you can solve conventional business logic, operate MySQL with PHP to add, delete, modify, and query, display dynamic website data, master the MVC framework, master the basics of the ThinkPHP6 framework, and learn and flexibly master all knowledge involved in PHP development. point.
Problem filtering data from a dataset based on user input
2023-09-20 09:37:52 0 1 346
Rewrite the title as: How to convert Union queries into Laravel
2023-09-15 16:56:54 0 1 288
2017-04-18 09:24:35 0 2 359
2017-04-18 09:21:58 0 2 123
Course Introduction:Since Google proposed Vision Transformer (ViT), ViT has gradually become the default backbone for many vision tasks. With the ViT structure, SoTA has been further improved for many visual tasks, including image classification, segmentation, detection, recognition, etc. However, training ViT is not easy. In addition to requiring more complex training techniques, the amount of calculation required for model training is often much greater than that of previous CNNs. Recently, the research teams of Singapore Sea AI LAB (SAIL) and Peking University ZERO Lab jointly proposed a new deep model optimizer Adan, which can complete the training of ViT with only half the calculation amount. Paper link: https:/
2023-04-11 comment 0 1158