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AI for Non-Experts - Basics to Applications
เข้าร่วมเมื่อ 16 มิ.ย. 2023
Welcome to our channel dedicated to making Artificial Intelligence accessible to everyone! We offer short, practical AI-related content for anyone interested in applying AI, regardless of their background.
Especially for those who have no background in computer programming, you can simply download the coding files from GitHub (github.com/hisylee/aifoodnlife) and follow along without any prior knowledge.
Especially for those who have no background in computer programming, you can simply download the coding files from GitHub (github.com/hisylee/aifoodnlife) and follow along without any prior knowledge.
Gradient Descent 이외의 AI 최적화 알고리즘: SGD, Momentum, RMSprop, Adam
본 영상에서는 경사하강법 이외에 SGD, Momentum, RMSprop, Adam 최적화 알고리즘에 대해 살펴보도록 하겠습니다.
มุมมอง: 29
วีดีโอ
AI Optimization Algorithms Beyond Gradient Descent: SGD, Momentum, RMSprop, Adam
มุมมอง 4014 ชั่วโมงที่ผ่านมา
We will take a closer look at other optimization algorithms, including SGD, Momentum, RMSprop, and Adam.
AI 학습 속도 및 성능 향상의 비밀: 학습률(Learning Rate)
มุมมอง 10828 วันที่ผ่านมา
인공지능 학습 속도 및 성능 향상에 큰 영향을 미치는 learning rate 즉, 학습률에 대해서 알아보도록 하겠습니다.
The Secret to AI Learning Speed and Performance: Learning Rate
มุมมอง 528 วันที่ผ่านมา
We’re going to explore the learning rate, which has a significant impact on both the speed and performance of AI training.
딥러닝 기초 블록: 퍼셉트론(perceptron)
มุมมอง 48หลายเดือนก่อน
이번 영상에서는 딥러닝을 이해하기 위해 필수적으로 알아야하는, 딥러닝의 기초블록인 퍼셉트론에 대해 알아보도록 하겠습니다.
Fundamental Building Block of Deep Learning: Perceptron
มุมมอง 23หลายเดือนก่อน
In this video, we'll explore the perceptron, which is a fundamental building block of deep learning and essential for understanding the basics of deep learning.
AI 모델 최적화 기법: 경사하강법 (Gradient Descent)
มุมมอง 1152 หลายเดือนก่อน
본 영상에서는 AI 모델 최적화 기법인 경사하강법 (Gradient Descent)에 대해 알아보겠습니다
An AI Model Optimization Technique: Gradient Descent
มุมมอง 302 หลายเดือนก่อน
Let's learn about AI model optimization techniques: Gradient Descent.
Why use tensors in AI?
มุมมอง 122 หลายเดือนก่อน
We will explore the reasons why tensors are needed in artificial intelligence.
LightGBM (Light Gradient Boosting Machine)
มุมมอง 4674 หลายเดือนก่อน
We will explore one of the boosting models, the LightGBM model
Boosting algorithms(bagging vs boosting)
มุมมอง 156 หลายเดือนก่อน
Boosting algorithms(bagging vs boosting)
코딩없이 나만의 챗봇 만들기(GPTs) - 해외 관광 명소 가이드 -
มุมมอง 587 หลายเดือนก่อน
코딩없이 나만의 챗봇 만들기(GPTs) - 해외 관광 명소 가이드 -
Creating My Own Chatbot in Minutes (GPTs) - Foreign Menu Translator
มุมมอง 98 หลายเดือนก่อน
Creating My Own Chatbot in Minutes (GPTs) - Foreign Menu Translator
저는 속도 딱 좋은데요. 더 느려지면 답답할듯
이해하기 쉽게 설명해주셔서 감사합니다. 그런데 너무 빠른거 같습니다..!
Your explanation of GOSS is great. Intuitive and easy to follow.
혼자서 공부하는데 정말 많은 도움이 됩니다~^^
Thanks for the simple, yet not-so-simple explanation mfs! Beer from my side
두번째 영상도 잘 보고 갑니다^^
새롭게 AI관련 수업을 개설하기 위해서 공부 중인데 많은 도움이 되고 있습니다. 수업이 정말 최고예요~^^
Thanks for the video and merry X-mas
Thanks Prof. Lee. It is really helpful for me to understand about it.
각 단어 구분은 어떻게 처리하려나,,,싶었는데 split(' ')으로 처리되는군요 😅 잘 봤습니다!
Thank you for all!
오늘 포스터에서 봤는데 인상깊었습니다! 감사합니다!
어? 황정인?
혹시 sklearn이 안되는 사람들은 sci-kit learn 모듈을 설치해야 해요!
잘 배워갑니다~
I was looking for the AI video related to the food science and it is exactly what I am looking for^^
Thanks for the video. It was really helpful to understand the confusion matrix.
내용 정리가 너무 잘 되어 있어서 이해가 쏙쏙~ 공부하는데 정말 많은 도움을 받고 있습니다. 감사해요^^
I can't believe I can get this for free! Thank you so much! :>
Awesome~it is free^^
This is the first time I've received such an excellent explanation. Thank you so much! :>
Thank you for the clear explanation! It's excellent! O.o
Thank you for explaining it in a way that was easy to understand! :-D
Thank you for explaining it in an easy-to-understand way!! :)
SVM 모델 설명 찾고 있었는데.... 감사합니다!!ㅠㅠ
KNN이 이런 모델이였군요... 설명이 좋아 이해가 쉽네요 감사합니다!
깔끔한 설명 감사합니다!🙂🙂
와 책으로 공부할땐 이해 되지 않았던 부분이 완벽히 이해됐네요!!
코딩 독학 시작하는데 큰 도움이 됐어요! 감사합니다🙏
이해가 쏙쏙 되는 설명 감사합니다😊