[Revised Edition] Deep Learning Computer Vision Complete Guide

Hello, students.

I have just freshly released the Airflow Complete Guide Part 1 course.

"Finish Data Pipelines in One Go! Airflow Master Class"

From the core operating principles of Airflow to the practical use of various Operators and Hooks, I have poured my heart and soul into creating this course to help you grow into an Airflow expert recognized in the field.

Course Introduction Page: https://inf.run/2Y8Z4

Lecture Introduction Video: https://inf.run/znn8V

To celebrate the launch, the Airflow Complete Guide Part 1 course is available at a 40% discount for two weeks starting today. Additionally, all of my other courses will also be available at a 30% discount for two weeks.

I would like to confidently recommend this course as the best choice for learning Airflow. Thank you.

Hello, everyone. This is Kwon Cheolmin.

I recently launched a new course titled 'Learning Transformer Through Implementation'.

This course covers everything from Multi Head Attention, the core mechanism of Transformers, to the Original Transformer model, BERT, and the MarianMT model which is an Encoder-Decoder translation modelThis is a course where you can learn Transformers inside and out by implementing everything from scratch.

If you've been interested in Transformers but have had difficulty understanding them, this course will quench your thirst for Transformer knowledge with easy, detailed theoretical explanations that lead to actual code implementation.

Currently offering a 35% discount in celebration of the launch, and below is the course introduction page.

https://inf.run/9iXA7

The official prerequisite course for 'Learning by Implementing Transformer Course' is 'Deep Learning CNN Complete Guide - PyTorch Version'. The Deep Learning CNN Complete Guide - PyTorch Version course is also offering a 25% discount.

If you have some experience implementing models with PyTorch, you can challenge yourself without taking the prerequisite courses. For more details, please visit https://inf.run/K4ZyT

Please refer to the video.

The weather is getting quite chilly. Please always take care of your health and have a vibrant day.

Thank you.

hello,

To celebrate the launch of my Pytorch courses and to welcome the new spring, I am offering a 30% discount on all my courses for two weeks, from today (April 2nd) until April 15th.

Thanks to the hard work of the Inflearn marketing team, we have created a separate event page below, so please refer to it.

https://inf.run/U58ia

And we have reorganized the existing Deep Learning Computer Vision Complete Guide and the newly released Deep Learning CNN Complete Guide - Pytorch version into a new roadmap. If you are interested, please visit the roadmap page below, and a special discount is being applied to the roadmap for only two weeks.

https://inf.run/8yzaQ

thank you

hello,

The system configuration was completed ahead of schedule, and we have just opened a new lecture, ' Deep Learning CNN Complete Guide - Pytorch Version' .

We have been preparing this course for a long time. With improved content from the previous TFKeras version, this course will teach you step-by-step from the principles of CNN to practice based on PyTorch, and you will be able to build practical skills that can be applied immediately in real-world projects.

A more detailed introduction to the lecture is included in the URL below.

Course introduction page: https://www.inflearn.com/course/%EB%94%A5%EB%9F%AC%EB%8B%9D-cnn-%EC%99%84%EB%B2%BD%EA%B0%80%EC%9D%B4%EB%93%9C-%ED%8C%8C%EC%9D%B4%ED%86%A0%EC%B9%98

If you are interested in Pytorch, you will not regret choosing this Deep Learning CNN Complete Guide - Pytorch course. You will be able to completely master CNN as well as Pytorch from the basics to advanced levels through this course.

thank you

hello,

A few days ago, the Python version of the Colab environment changed from 3.10 to 3.11, and an issue occurred where MMDetection could not be installed during the existing hands-on lecture.

Here, the method to install the new MMDetection is included in the video <Notice> Notice of change to mmdetection practice environment and learning config in Section 5 - Understanding MMDetection and Faster RCNN Application Practice - 01. Please refer to the video to install it.

For those who are currently practicing MMDetection, please visit https://github.com/chulminkw/DLCV_New

Please download the practice code again with the new MMDetection installation code reflected and practice it.

It's early, but I'd like to wish you a happy New Year. Thank you for always showing interest in my lectures. I hope all your wishes come true this year, and I wish you a happy new year.

thank you

Hello students, this is Kwon Chul-min.

I have recently released a new course titled 'FastAPI Complete Guide'. I am posting a brief introduction to the course to help those of you who are interested in FastAPI.

'FastAPI Complete Guide' consists of various examples and abundant practical projects to enable systematic learning from the core components of FastAPI to advanced functions.

In addition, it covers not only FastAPI itself, but also the entire process of developing a web service using FastAPI. Through this, you will be able to develop skills to the point where you can immediately apply FastAPI to real-world projects.

You can find more detailed lecture information at the URL below.

https://www.inflearn.com/course/fastapi-%EC%99%84%EB%B2%BD-%EA%B0%80%EC%9D%B4%EB%93%9C

We put a lot of time and effort into making this course for FastAPI so that you won't regret it.

I hope that everyone will have a happy and precious time during the upcoming Chuseok holiday. I bow to all the students who love my lectures in advance to give Chuseok greetings.

thank you

Hello, students.

This time, I opened a new lecture titled “The Complete Kafka Guide - Connect” .

This is the second lecture in the Kafka series following the Complete Guide to Kafka - Core.

This course covers Kafka Connect in a detailed and practical manner that you have never encountered in any other course or book. Through detailed explanations of the mechanisms of the core components of Kafka Connect and many practical examples that cover various data linkages and operational management using Connect, we will help you grow into a Kafka Connect expert needed in the field .

2022 is almost here. Thank you so much to everyone who listens to my lectures and loves me.

I hope you finish off 2022 well, which is just around the corner, and that 2023 will be a year in which all your wishes come true and you will have no worries or concerns.

thank you

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. ^^