1/2

Hands-on deep learning from MLOps engineers - Pytorch, Onnx, TensorRT

Beginner
11 chapters · 8 hours 20 minutes
English · Japanese · Korean|Audio Korean

Skills You’ll Learn

Pytorch

Try creating deep learning models with Pytorch through various projects.

Model optimization (ONNX, TensorRT)

Learn how to use ONNX and TensorRT for model optimization.

6개의 프로젝트로 배우는 10+a의 딥러닝 모델

▶ Learn about 10+a deep learning model through 6 projects

딥러닝 초급부터 중고급까지, 프레임 워크의 기초 부터 모델 압축, 최적화 까지 한번에

▶ Deep learning from beginner to intermediate to advanced, from framework basics to model compression and optimization all at once


  • Are you wondering how to apply deep learning to practice?
  • Are you studying for the first time and are you wondering what to do?
  • Do you know how to do model development, but are you curious about compressing and distributing it to an actual service?

“Practical deep learning through projects” will show you how to do it. Through this class From how to use Pytorch, learn all the storage and optimization processes required to deploy models in practice via ONNX and TensorRTYou can do it.



딥러닝 커리어 로드맵 제시

▶ Presenting a deep learning career roadmap



We'll help you grow your career

I'm Bong Ja, an active deep learning developer.

Hallo I'm Bong, an MLOps engineer. I have had various experiences in the field of deep learning as a former CEO of AI Ocean, a master's in deep learning model compression, and a current mLOps engineer, a former CEO of AI Ocean, an artificial intelligence startup.


Through our years of practical experience and research, we would like to share with you various know-how gained in the business.


Why “project-based”

Should I learn?

The reason is clear. This is because you can learn in a fun way without getting bored. Also, by applying the theory you have learned directly to the project, you can experience the practical process indirectly. Tired of deep learning lectures that only explain theory? For beginners, we will briefly examine the concepts and conduct practical exercises in earnest.


Python 기초, CNN, RNN, 흉부 엑스레이 이미지 분석 프로젝트, 마스크 인식 프로젝트

By organizing project-based lectures with practical exercises from beginning to end, we will blow away boredom and make you feel fun and interesting throughout your studies. Various problems encountered during actual deep learning projects and practical tips for solving them!

The curriculum is designed so that you don't feel that learning is a burden on your mind, and that learning itself is fun.


다양한 도메인을 경험할 수 있도록

▶ To be able to experience various domains

From the CIFAR10 classification model, which is the basis of computer vision, to medical X-rays, mask recognition, and Bitcoin price prediction. We work on projects with datasets from various fields.

We will provide practice codes for each project so that you can review them after the lecture and use them in practice.



If deep learning is overwhelming,

Three reasons to start with Bonza

01 기초부터 탄탄하게 시작하는 딥러닝

▶ 01 Deep learning that starts firmly from the basics


You'll learn Pytorch, the most widely used deep learning framework. From tensor, which is the basic data type of deep learning, to reverse propagation, which is the main learning process of deep learning, various optimizations, regulations, and loss functions, I have selected only the necessary content that even beginners can easily understand, and intermediate users can say that they have this function.



02 실전에 사용되는 고급기술인 모델 최적화 까지!

02 Even model optimization, which is an advanced technology used in practice!

Server costs are one of the most problematic parts after artificial intelligence services! Due to the nature of deep learning that actually requires the use of GPUs, the cost of a GPU server for actual services is prohibitive, but in the final project, this Learn how to compress and optimize models that can reduce server costs by more than double. Practical tips I couldn't find in any course! In addition to model compression, many things are incorporated into the course.



03 다음엔 무엇을 공부해야하지? 현직자가 제시하는 커리어 로드맵

▶ 03 What should I study next? Career roadmap presented by the incumbent


Haven't you tried to worry about this at least once after listening to the course? I will present a roadmap of what fields are in the world of deep learning and what to study next. Based on my career as an MLOps engineer after going through a master's program in deep learning and being the CEO of an artificial intelligence startup, I can also help you with your concerns!



What you can get with Bongza

Three deep learning weapons

딥러닝 무기 세 가지



Deep learning is on the rise!?

Is deep learning at the center of the 4th Industrial Revolution!?

Everyone, 'Deep learning is on the rise! Deep learning is at the center of the 4th Industrial Revolution! ' You've probably heard that at least once. In fact, you may have come this far after hearing these words. If so, you've come to the right place.

As I studied deep learning by heading to the ground, I put it into this course because I thought about how you can understand it better and how you can do it in a fun and steady manner. If you continue to follow the roadmap after listening to my lectures, you will find your dream goals close by.



Get a perfect introduction to deep learning with Bong Ja
Let's move up to the mid-advanced level.



이런 분들에게 추천합니다!

▶ I recommend it to people like this!

Class Kit · Coaching Session

💌 1:1 coaching taught directly by Bong Ja


  • You can ask 2 questions per coaching ticket.
  • We will write an answer of around 300 characters per question and send it to you.
  • A coaching ticket is a system that helps you with questions if you have a difficult part while listening to a lecture.


1 ️ Career consulting

  • We provide consulting on admission, turnover and employment, and future directions. If you have questions about the following 4 items and concerns, we will answer them.
  • Major/ Field of interest (manufacturing, marketing, medical care, education, fashion, etc.)/Current status/ Desired career/ Other concerns


2 ️ Project advice

  • We can advise on company projects, contests, and personal projects. Please ask the following 5 questions.
  • Project name/Field/Progress/Problems/Questions


3 ️ Class-related questions

  • We will explain the exercise code related to the class, explain additional content, and correct the code.



  • In addition to this, if you personally want 1:1 coaching, we will help you to the extent that we can deliver answers.
  • Coaching answers are based on the date questions are received, and answers are provided sequentially. Responses can take up to 1 week.
  • The coaching ticket can be used for 20 weeks from the date of purchase.
  • If not used within the period, no refund will be given.


📌 For inquiries about product defects or incorrect delivery, please contact the Class 101 Customer Service Center.

📩 The kit is subject to some changes, and we will be fully informed if there are any changes.

Curriculum

Creator

Bongja

Bongja

Hello Deep Learning! Hallo I'm an MLOps engineer! I'm an engineering student developer who started developing when I was in middle school and is already in the 8th year of development.


I graduated with a master's degree in deep learning model compression, and I'm currently working as the most important MLOps engineer in the deep learning field. Currently, deep learning is infiltrating many parts of the industry, but there is an absolute shortage of deep learning developers.


You too can be a deep learning developer. Having experienced both research and development, from basic model development to actual business application, I will kindly teach you! We welcome you to the exciting world of deep learning!

View similar classes you might also like

Deep learning with Python, from theory to practiceDeep Learning  |  IT Encyclopedia

Notes on Copyright Protection

  • All videos and materials included in the class are protected intellectual property under relevant laws.
  • You may face legal action if you copy, distribute, transmit, modify or edit the videos or materials included in the class without permission.
CLASS 101, LLC.
1201 North Market St. Suite 111, Wilmington, DE, 19801
support@101.inc