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[Revised Edition] Deep Learning Computer Vision: The Complete Guide

This course will help you grow into a deep learning-based computer vision expert needed in the field through in-depth theoretical explanations of Object Detection and Segmentation, along with practical examples at a level that can be immediately applied in the industry.

(4.9) 166 reviews

4,044 learners

Level Intermediate

Course period Unlimited

  • dooleyz3525
Python
Python
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Computer Vision(CV)
Computer Vision(CV)
Python
Python
Machine Learning(ML)
Machine Learning(ML)
Deep Learning(DL)
Deep Learning(DL)
Computer Vision(CV)
Computer Vision(CV)
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dooleyz3525님의 프로필 이미지
dooleyz3525

We are pleased to announce the release of a new Kafka lecture.

Hello, students.

 

This time, I have released a new lecture titled 'Kafka Complete Guide - Core'.

 

Kafka has become an indispensable choice for collecting large amounts of streaming data, building large-scale data pipelines, and building event-driven microservice architectures (MSAs).

For this reason, many companies have been rushing to adopt Kafka in recent years, and the demand for specialized personnel is also continuously increasing.

 

The 'Kafka Complete Guide - Core' course covers everything from the core of Kafka to advanced content on its internal mechanisms, and is structured so that even beginners to Kafka can quickly reach an expert level through detailed theoretical explanations, hands-on practice, and practical Kafka application development practice.

 

This course will quench your thirst for Kafka technology and teach you everything from the essential elements required for operating and developing Kafka to advanced core mechanisms .

 

A more detailed lecture introduction is provided in the URL below.

Kafka Complete Guide - Go straight to the core

 

These days, the heat of the hot summer has subsided. I hope everyone enjoys the end of summer to the fullest on Friday.

 

To all the students who love my lectures, I am always grateful. ^^

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