AI Agent Development Using LangGraph (feat. MCP)
jasonkang
₩54
초급 / prompt engineering, LLM, AI Agent, LangGraph, Model Context Protocol, kakao-tech
5.0
(80)
LangGraph, packed with a major corporation's AI Agent lead's know-how. We deliver knowledge gained from real-world challenges.
초급
prompt engineering, LLM, AI Agent
AI Agent Development Using LangGraph (feat. MCP)
jasonkang
₩54
초급 / prompt engineering, LLM, AI Agent, LangGraph, Model Context Protocol, kakao-tech
5.0
(80)
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python, kakao-tech
4.9
(45)
This lecture covers RAG (Retrieval-Augmented Generation) system fundamentals and implementation using LangChain. Participants will understand RAG's core principles and learn to build and evaluate systems using LangChain.
초급
RAG, LangChain, LLM
RAG Master: From Basics to Advanced Techniques (feat. LangChain)
pdstudio
₩94
초급 / RAG, LangChain, LLM, Chatbot, Python, kakao-tech
4.9
(45)
A Complete Guide to Deep Learning CNN - TensorFlow Keras Version
dooleyz3525
₩85
초급 / Deep Learning(DL), CNN, Tensorflow, Keras, Kaggle, Machine Learning(ML)
4.9
(116)
From core theories of Deep Learning and CNN to implementation methods of various CNN models, and practical Deep Learning development know-how through real-world problems, If you want to become a Deep Learning CNN technology expert, join us in this lecture :)
초급
Deep Learning(DL), CNN, Tensorflow
A Complete Guide to Deep Learning CNN - TensorFlow Keras Version
dooleyz3525
₩85
초급 / Deep Learning(DL), CNN, Tensorflow, Keras, Kaggle, Machine Learning(ML)
4.9
(116)
![[Revised Edition] The Complete Guide to Python Machine Learning강의 썸네일](https://cdn.inflearn.com/public/courses/324238/cover/7e380aa0-48ba-4ee7-a6b2-8da7900568d6/324238-eng.png?f=avif&w=420)
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(423)
We will help you easily understand the core concepts of machine learning and acquire the ability to implement practical machine learning applications by moving away from theory-based machine learning courses.
초급
Python, Machine Learning(ML), Statistics
[Revised Edition] The Complete Guide to Python Machine Learning
dooleyz3525
₩77
초급 / Python, Machine Learning(ML), Statistics
4.9
(423)
Silicon Valley Engineer's Guide to OpenAI API (ChatGPT)
altoformula
₩34
초급 / ChatGPT, Python, openai, Midjourney
4.9
(61)
Envision the future with OpenAI API! OpenAI is a leader in the field of artificial intelligence, always providing cutting-edge technology. The GPT-4-based OpenAI API enables human-like conversations, demonstrating remarkable capabilities applicable to various fields.
초급
ChatGPT, Python, openai
Silicon Valley Engineer's Guide to OpenAI API (ChatGPT)
altoformula
₩34
초급 / ChatGPT, Python, openai, Midjourney
4.9
(61)
Data Science(DS) and AI Learning & Career Guide for Non-Majors/Beginners
AISchool
₩23
입문 / Deep Learning(DL), Machine Learning(ML)
5.0
(36)
Data Science(DS) & Artificial Intelligence(AI) job role analysis, plus a learning & employment roadmap for building a career in these roles.
입문
Deep Learning(DL), Machine Learning(ML)
Data Science(DS) and AI Learning & Career Guide for Non-Majors/Beginners
AISchool
₩23
입문 / Deep Learning(DL), Machine Learning(ML)
5.0
(36)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.6
(31)
All the recent amazing achievements in the field of artificial intelligence have been announced in the field of reinforcement learning. We have covered reinforcement learning technology, which is revolutionizing true artificial intelligence technology such as robots, autonomous driving technology, and human-like machines, from the basics to the advanced level, in an easy-to-understand way for beginners.
중급이상
Deep Learning(DL), Reinforcement Learning(RL), Python
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.6
(31)
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
₩9
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(34)
You can acquire an overview of machine learning and deep learning, how to use basic tools, and the Python language knowledge necessary for learning in a short period of time.
입문
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning/Deep Learning and Python Introductory Course for Learning
YoungJea Oh
₩9
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib
4.8
(34)
Math for game development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(16)
This is a lecture where you easily learn important mathematical concepts used in games. People who know math well take that knowledge for granted, so they cannot teach under the assumption that you know nothing. I will explain from a beginner's perspective, truly treating you as someone with no prior knowledge.
초급
C++, Linear Algebra, game-math
Math for game development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(16)
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API, kakao-tech
4.9
(272)
RAG. Learn from Silicon Valley GenAI Hackathon Winner. Packed with real-world know-how.
초급
LLM, RAG, LangChain
Developing LLM Applications Using RAG (feat. LangChain)
jasonkang
₩52
초급 / LLM, RAG, LangChain, vector-database, openAI API, kakao-tech
4.9
(272)
![[LLM 101] Llama SFT Tutorial for LLM Beginners (feat. ChatApp Poc)강의 썸네일](https://cdn.inflearn.com/public/files/courses/333429/cover/01k09qxkkwjcrqe886az6rr63t?f=avif&w=420)
[LLM 101] Llama SFT Tutorial for LLM Beginners (feat. ChatApp Poc)
dreamingbumblebee
₩74
초급 / NLP, ChatGPT, LLM, Llama, Fine-Tuning
4.4
(24)
LLM: A pro quickly delivers core content, from essentials to practical tips!
초급
NLP, ChatGPT, LLM
[LLM 101] Llama SFT Tutorial for LLM Beginners (feat. ChatApp Poc)
dreamingbumblebee
₩74
초급 / NLP, ChatGPT, LLM, Llama, Fine-Tuning
4.4
(24)
Practical Docker: Creating your own deep learning cloud computer with Docker
danielyouk
₩59
초급 / Docker, Virtualization, Python, Deep Learning(DL), mlops, Azure, Linux, azure-data-lake-gen2
4.7
(13)
You can create a deep learning analysis environment in the cloud using Docker. When Docker images managed by Google, MS, etc. are combined with the cloud, you can work with the latest deep learning analysis methods on your computer.
초급
Docker, Virtualization, Python
Practical Docker: Creating your own deep learning cloud computer with Docker
danielyouk
₩59
초급 / Docker, Virtualization, Python, Deep Learning(DL), mlops, Azure, Linux, azure-data-lake-gen2
4.7
(13)
The Complete Guide to Spark Machine Learning - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(27)
If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.
중급이상
Apache Spark, Machine Learning(ML), Big Data
The Complete Guide to Spark Machine Learning - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(27)
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(73)
This course is designed to upgrade your skills as a practical machine learning development expert by implementing the machine learning model of the Home Credit Default Risk competition on Kaggle.
중급이상
Machine Learning(ML), Kaggle
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(73)
![[Revised Edition] A Complete Guide to Deep Learning Computer Vision강의 썸네일](https://cdn.inflearn.com/public/courses/325035/cover/f4bbef4d-d9a9-4def-a3a5-738a9eed8245/325035-eng.jpg?f=avif&w=420)
[Revised Edition] A Complete Guide to Deep Learning Computer Vision
dooleyz3525
₩94
중급이상 / Machine Learning(ML), Tensorflow, Python, Deep Learning(DL), Keras, Computer Vision(CV)
4.9
(155)
This course will help you become a deep learning-based computer vision expert who is needed in the field by providing a deep theoretical explanation of object detection and segmentation and practical examples that can be used immediately in the field.
중급이상
Machine Learning(ML), Tensorflow, Python
[Revised Edition] A Complete Guide to Deep Learning Computer Vision
dooleyz3525
₩94
중급이상 / Machine Learning(ML), Tensorflow, Python, Deep Learning(DL), Keras, Computer Vision(CV)
4.9
(155)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
₩55
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(14)
This is a lecture that studies the physical information neural network, one of the next-generation innovative technologies of deep learning, and implements it directly using Pytorch. Let's learn the next-generation innovative technology of artificial intelligence with me!
초급
PyTorch, Deep Learning(DL), Machine Learning(ML)
Deep Learning Next Generation Innovation Technology - Introduction to Physical Information Neural Networks and Pytorch Practice
dlbro
₩55
초급 / PyTorch, Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(14)
![[Python] Easily understand and implement machine learning without math강의 썸네일](https://cdn.inflearn.com/public/courses/328518/cover/5748a5c0-65a6-4d06-bb54-9f3981fafeee/328518-eng.png?f=avif&w=420)
[Python] Easily understand and implement machine learning without math
dlbro
₩52
입문 / Machine Learning(ML), Python, Scikit-Learn, Big Data
4.7
(14)
Learn how to understand advanced machine learning models without math and implement them easily in Python.
입문
Machine Learning(ML), Python, Scikit-Learn
[Python] Easily understand and implement machine learning without math
dlbro
₩52
입문 / Machine Learning(ML), Python, Scikit-Learn, Big Data
4.7
(14)
ChatGPT Latest Model Prompt Engineering Bible
Masocampus
₩77
24%
₩58
입문 / AI, ChatGPT, prompt engineering, GPTs
4.6
(18)
Apply the latest trends of Generative AI directly to your work! The bible of Prompt Engineering lectures, packed with essentials
입문
AI, ChatGPT, prompt engineering
ChatGPT Latest Model Prompt Engineering Bible
Masocampus
₩77
24%
₩58
입문 / AI, ChatGPT, prompt engineering, GPTs
4.6
(18)
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
Masocampus
₩69
23%
₩53
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.3
(6)
A Complete Guide to Building an AI Chatbot System with Langchain and RAG! Provides a systematic learning process for generative AI development technology.
초급
LangChain, FastAPI, RAG
Gen AI RAG Practical Guide, Complete Mastery of AI Chatbot Using Langchain
Masocampus
₩69
23%
₩53
초급 / LangChain, FastAPI, RAG, streamlit, openAI API
4.3
(6)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.7
(12)
Time is constantly flowing, and data is constantly accumulating. In this dynamic world, time series data plays a vital role in every aspect of our lives. From the volatility of financial markets to subtle signals of climate change, time series data captures it all. Now learn how to interpret and leverage this powerful data using the power of Python and deep learning!
중급이상
AI, python3, Deep Learning(DL)
Time series data processing using Python and deep learning
YoungJea Oh
₩39
중급이상 / AI, python3, Deep Learning(DL), Financial Engineering, Algorithm, Investment
4.7
(12)
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(49)
Do you want to take your first step into the world of data? Learn machine learning and deep learning, the core technologies of AI, with Python. This course will guide you step by step, from the basics of machine learning and deep learning to practical applications. Traditional machine learning and deep learning are based on many of the same principles and technical systems. Therefore, this course does not separate the two into separate subjects, but rather organizes them into one connected course so that beginners can increase their understanding of machine learning as a whole.
입문
Machine Learning(ML), Deep Learning(DL), Python
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(49)
(For Planners) LLM Application Service Case Analysis
arigaram
₩9
입문 / NLP, Service Planning, Content Planning, LLM
5.0
(1)
Let's explore the types of applications or web services that can be built using LLMs.
입문
NLP, Service Planning, Content Planning
(For Planners) LLM Application Service Case Analysis
arigaram
₩9
입문 / NLP, Service Planning, Content Planning, LLM
5.0
(1)
LangChain Basics in One Hour
jasonkang
₩4
입문 / LLM, LangChain, prompt engineering, kakao-tech
4.9
(145)
This is a basic LangChain lecture that extracts the key points from official documents for the price of a cup of coffee. Get familiar with LangChain grammar before you start developing!
입문
LLM, LangChain, prompt engineering
LangChain Basics in One Hour
jasonkang
₩4
입문 / LLM, LangChain, prompt engineering, kakao-tech
4.9
(145)
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
₩11
5일만
10%
₩10
입문 / Machine Learning(ML), Scikit-Learn
4.9
(12)
The first step in learning AI: We've created the perfect curriculum for AI beginners! The first step: getting familiar with AI foundational theory! Learn basic machine learning concepts with various examples and take quizzes to review the theory!
입문
Machine Learning(ML), Scikit-Learn
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
₩11
5일만
10%
₩10
입문 / Machine Learning(ML), Scikit-Learn
4.9
(12)
Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma
AISchool
₩43
중급이상 / openAI API, ChatGPT, gemini, Gemma, multimodal, LLM, Deep Learning(DL), streamlit
4.8
(6)
This course will teach you the concept of the Google Gemini model and how to use the Gemini API, and create various AI applications using Streamlit.
중급이상
openAI API, ChatGPT, gemini
Large-Scale Language Models for Everyone LLM Part 3 - Building AI Applications with Google Gemini API, OpenAI API, and Gemma
AISchool
₩43
중급이상 / openAI API, ChatGPT, gemini, Gemma, multimodal, LLM, Deep Learning(DL), streamlit
4.8
(6)
How to Make Money with AI - AI Transformation Through Case Studies
AISchool
₩26
입문 / Service Planning
4.7
(60)
Through AI company reviews, we examine how AI technology will change our present and future through various cases. By examining the necessary elements for carrying out AI projects, we prepare for the upcoming AI Transformation.
입문
Service Planning
How to Make Money with AI - AI Transformation Through Case Studies
AISchool
₩26
입문 / Service Planning
4.7
(60)
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(35)
This course teaches you how to implement deep learning papers by implementing the YOLO (You Only Look Once) paper from scratch using TensorFlow 2.0.
중급이상
Deep Learning(DL), Tensorflow
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(35)
![[Renewal] First-time Python Machine Learning Bootcamp (Easy! Solving Real Kaggle Problems) [Data Analysis/Science Part2]강의 썸네일](https://cdn.inflearn.com/public/courses/327464/cover/55c4db7b-7764-43cc-ac75-d9e8d08098f1/327464-eng.png?f=avif&w=420)
[Renewal] First-time Python Machine Learning Bootcamp (Easy! Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩59
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(99)
Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.
초급
Machine Learning(ML), Kaggle, Pandas
[Renewal] First-time Python Machine Learning Bootcamp (Easy! Solving Real Kaggle Problems) [Data Analysis/Science Part2]
funcoding
₩59
초급 / Machine Learning(ML), Kaggle, Pandas, Python
4.9
(99)
LLM Data Analytics - From Web Crawling to Recommendation Systems
pdstudio
₩52
초급 / LLM, LangChain, Web Crawling, Web Scraping, Recommendation System, Selenium, kakao-tech
4.6
(14)
This course is designed for beginners and consists of easy explanations and various hands-on projects. It covers data collection using web crawling and LangChain tools, and summarization, extraction, sentiment analysis, and recommendation systems using LLM.
초급
LLM, LangChain, Web Crawling
LLM Data Analytics - From Web Crawling to Recommendation Systems
pdstudio
₩52
초급 / LLM, LangChain, Web Crawling, Web Scraping, Recommendation System, Selenium, kakao-tech
4.6
(14)
Computer Vision All-in-One: 10 Practical Projects Completed in 12 Hours
nomad
₩153
초급 / Python, OpenCV, Deep Learning(DL), Machine Learning(ML), yolo, image-segmentation
2.8
(4)
Easy, Usable Computer Vision Projects: Step-by-step learning of practical CV projects. Boost skill with real examples.
초급
Python, OpenCV, Deep Learning(DL)
Computer Vision All-in-One: 10 Practical Projects Completed in 12 Hours
nomad
₩153
초급 / Python, OpenCV, Deep Learning(DL), Machine Learning(ML), yolo, image-segmentation
2.8
(4)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.8
(97)
This course provides essential knowledge needed to understand the structure and operating principles of various artificial neural networks and create good models.
입문
Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
Understanding the concept of deep learning leading to practical artificial intelligence
dlbro
₩55
입문 / Deep Learning(DL), Artificial Neural Network, Machine Learning(ML)
4.8
(97)
LLM Application Experience Sharing Session
inflearn
무료
입문 / LLM, RAG
4.8
(49)
This is the edited live video from the LLM Application Experience Sharing Session with knowledge sharer Kang Byung-jin :)
입문
LLM, RAG
LLM Application Experience Sharing Session
inflearn
무료
입문 / LLM, RAG
4.8
(49)
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
중급이상 / Generative AI, transformer, multimodal, Python, openai
4.8
(39)
Understand the operating principles of deep learning-based generative AI models and acquire utilization methods through hands-on practice.
중급이상
Generative AI, transformer, multimodal
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
중급이상 / Generative AI, transformer, multimodal, Python, openai
4.8
(39)
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
JavaScript, which is known to all web developers, now explore the world of machine learning with this powerful language! This course learns how to build and deploy machine learning models using JavaScript and the powerful machine learning library Tensorflow.js. It guides you step-by-step through all the technologies required to develop web-based machine learning applications. Through this course, learners will systematically understand the core principles of machine learning. In addition, you will learn how to develop deep learning models using JavaScript and Tensorflow.js APIs, how to utilize transfer learning based on pre-trained models, and how to apply all this knowledge interactively in a browser environment.
초급
Machine Learning(ML), Deep Learning(DL), JavaScript
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.8
(13)
Are you still managing ML experiments manually? 🤔 Automate everything from experiment tracking to model deployment with MLflow, and dramatically boost your development productivity! An essential skill for data scientists and ML engineers 💡 Start right now! 🚀
입문
mlflow, Machine Learning(ML), mlops
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.8
(13)
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(30)
Become a pioneer in the latest large language model (LLM) technology through Langchain online lectures! This course provides practical skills and innovative knowledge that will upgrade your career. #LangChain #LangGraph #LangSmith #MCP
초급
LLM, LangChain, prompt engineering
Silicon Valley Engineer's Guide to LangChain, LangGraph, and MCP
altoformula
₩52
초급 / LLM, LangChain, prompt engineering, NLP, openai
4.8
(30)
TensorFlow Object Detection API Guide Part 1 - Detecting Objects with 10 Lines of Code
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), CNN
4.8
(33)
This course teaches you how to perform Object Detection using the latest high-performance deep learning model using the TensorFlow Object Detection API through simple Colab exercises, and learns the principles of the latest deep learning Object Detection models.
초급
Tensorflow, Deep Learning(DL), CNN
TensorFlow Object Detection API Guide Part 1 - Detecting Objects with 10 Lines of Code
AISchool
₩26
초급 / Tensorflow, Deep Learning(DL), CNN
4.8
(33)
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(21)
Learn the basics of machine learning step by step through various Kaggle examples, and learn vivid project experiences and practical tips from hard-to-access field machine learning engineers all at once.
초급
Kaggle, Machine Learning(ML), EDA
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(21)
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain, kakao-tech
4.9
(104)
Implementing a Retrieval-Augmented Generation (RAG) Intelligent AI Agent with LangGraph! From theory to practice, this is a hands-on tutorial that even beginners can easily follow.
초급
AI Agent, LangGraph, RAG
RAG System Implemented with AI Agents (w. LangGraph)
pdstudio
₩77
초급 / AI Agent, LangGraph, RAG, LLM, LangChain, kakao-tech
4.9
(104)
Learn PyTorch Deep Learning Basics in 6 Days
hanky7479821
₩34
초급 / PyTorch, Deep Learning(DL), CNN, Python
5.0
(25)
If you invest 3 hours a day for 6 days, you can learn the basics of deep learning using PyTorch. Let's get started!
초급
PyTorch, Deep Learning(DL), CNN
Learn PyTorch Deep Learning Basics in 6 Days
hanky7479821
₩34
초급 / PyTorch, Deep Learning(DL), CNN, Python
5.0
(25)
