Udemy - Object Detect with TensorFlow, React, Mongo, TS, Redis, WS

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + .srt | Duration: 29 lectures (2h 9m) | Size: 814.9 MB Build, and Object detection app using TensorFlow built with Node, React, Docker, MongoDB, RedisDB, Websockets What you'll learn: Architect app using a collection of technologies Solve concurrency issues in a queue and file writing Build a React App to render data from your database Use Express NPM package for NodeJS and TypeScript Communicate data between queue and websocket Develop a service app with Docker and TensorFlow Leverage your jаvascript skills to build a complex web app Write nothing but production-level code. No cutting corners! Requirements Basic knowledge of jаvascript and Express is required Knowledge of React is good You must be familiar and comfortable with the command line Description Scalable, production-ready code? Its here! How This Course Works This will expose you to challenging problems and clever solutions when handling subjects like capture frames from webcams! What Technology You'll Use Because we are building a full stack application, we will use a variety of technologies. On the frontend, we'll use React and Next JS to present content to users. Each service is created using Node and Express. Data for each service is held in either a Mongo database. Finally, almost all of the code in this course is written with Typescript. This is a scary list of technologies! Not familiar with some of these? No problem! The course is built assuming that you only know the basics of jаvascript and Express. No other knowledge is needed - you will learn everything you need to know. What You'll Be Able to Do By the time you complete this course, you will be able to: Architect a multi-service application Determine whether your app is a good fit for a select area of webcams to watch for objects Organize and enhance the reusability of code in large projects What You'll Learn An absolute incredible number of topics are covered in this course. Here is a partial list of what you'll do: Practice for capture frames of webcams Write a custom implementation of an ordered queue Optionally, run a server with endpoint with rooms and websocket alert listeners Guarantee consistently structured responses from your different API's And much more! Who this course is for jаvascript engineers looking to detect objects by webcamers This course is *not* designed for sysadmins focused on infrastructure deployment Homepage https://www.udemy.com/course/object-detect-with-tensorflow-react-mongo-ts-redis-ws/ Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me Download now LINK

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