![[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
(446)
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
(446)
Kaggle Advanced Machine Learning Practical Crash Course
dooleyz3525
₩52
중급이상 / Machine Learning(ML), Kaggle
4.9
(75)
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
(75)
The Complete Guide to Spark Machine Learning - Part 1
dooleyz3525
₩77
중급이상 / Apache Spark, Machine Learning(ML), Big Data, Data Engineering
4.9
(28)
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
(28)
Math for game development (PART 1)
eazuooz
₩26
초급 / C++, Linear Algebra, game-math
5.0
(17)
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
(17)
Machine Learning That Even My Mom Can Do (Basic Theory)
yc
₩11
입문 / Machine Learning(ML), Scikit-Learn
4.9
(14)
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
입문 / Machine Learning(ML), Scikit-Learn
4.9
(14)
![[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
(109)
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
(109)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(112)
This lecture is designed to give you a general understanding of AI without overwhelming you with difficult topics like mathematical formulas. It's perfect for learning with a light and easy mindset.
입문
Machine Learning(ML), Deep Learning(DL)
The First Step into AI Without Math: From Basics to the Latest Trends
jihoonkim
₩59
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(112)
Kaggle Machine Learning for Beginners Learn from Industry Professionals - ML Engineer Practical Tips
AISchool
₩46
초급 / Kaggle, Machine Learning(ML), EDA
4.6
(22)
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
(22)
Deep Learning Paper Implementation with YOLO Implementation with TensorFlow 2.0
AISchool
₩77
중급이상 / Deep Learning(DL), Tensorflow
4.7
(36)
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
(36)
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
(36)
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
(36)
MLflow with Silicon Valley Engineers
altoformula
₩43
입문 / mlflow, Machine Learning(ML), mlops, Deep Learning(DL), AI
4.7
(18)
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
4.7
(18)
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
4.8
(17)
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
4.8
(17)
Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
AI CASTLE
₩54
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(40)
Make your own AI autonomous vehicle! This is a course where you can learn about AI and reinforcement learning in the most fun and fastest way. This course was produced by the developer ranked #1 in DeepRacer Korea.
입문
DeepRacer, Reinforcement Learning(RL), Autonomous Driving
Learning Artificial Intelligence and Autonomous Driving with AWS DeepRacer
AI CASTLE
₩54
입문 / DeepRacer, Reinforcement Learning(RL), Autonomous Driving
4.8
(40)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
₩77
중급이상 / Tensorflow, Deep Learning(DL)
4.4
(7)
This course teaches you how to implement deep learning papers by implementing the U-Net paper from scratch using TensorFlow 2.0.
중급이상
Tensorflow, Deep Learning(DL)
Deep Learning Paper Implementation with U-Net Implementation with TensorFlow 2.0 - Deep Learning Medical Image Analysis
AISchool
₩77
중급이상 / Tensorflow, Deep Learning(DL)
4.4
(7)
Understanding the Fundamentals and Operating Principles of Generative AI
YoungJea Oh
₩43
7일만
23%
₩33
중급이상 / Generative AI, transformer, multimodal, Python, openai
4.8
(56)
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
7일만
23%
₩33
중급이상 / Generative AI, transformer, multimodal, Python, openai
4.8
(56)
Machine Learning with JavaScript and Tensorflow.js
YoungJea Oh
₩43
7일만
23%
₩33
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
7일만
23%
₩33
초급 / Machine Learning(ML), Deep Learning(DL), JavaScript, tensorflow-js
5.0
(3)
Introduction to Machine Learning and Deep Learning Using Python
YoungJea Oh
₩52
7일만
23%
₩40
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(58)
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
7일만
23%
₩40
입문 / Machine Learning(ML), Deep Learning(DL), Python, Numpy, Pandas, Matplotlib, Anaconda, Tensorflow, Keras, CNN
4.9
(58)
Complete Guide to Unity Machine Learning Agents (Basics)
kyushik
₩52
초급 / Reinforcement Learning(RL), Machine Learning(ML), Unity, Unity ML-Agents
4.2
(24)
Through this course, students will learn various reinforcement learning theories and implement them themselves, as well as create a reinforcement learning environment to test the reinforcement learning algorithm implemented using Unity Machine Learning Agents.
초급
Reinforcement Learning(RL), Machine Learning(ML), Unity
Complete Guide to Unity Machine Learning Agents (Basics)
kyushik
₩52
초급 / Reinforcement Learning(RL), Machine Learning(ML), Unity, Unity ML-Agents
4.2
(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
(14)
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
(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
(42)
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
(42)
Learning Deep Learning Paper Implementation through GPT Paper Implementation with TensorFlow 2.0 Part 1
AISchool
₩85
중급이상 / gpt, Tensorflow, Deep Learning(DL)
1.0
(1)
A course to learn deep learning paper implementation skills, implementing the GPT-1 (Improving Language Understanding by Generative Pre-Training) paper from scratch with TensorFlow 2.0.
중급이상
gpt, Tensorflow, Deep Learning(DL)
Learning Deep Learning Paper Implementation through GPT Paper Implementation with TensorFlow 2.0 Part 1
AISchool
₩85
중급이상 / gpt, Tensorflow, Deep Learning(DL)
1.0
(1)
Do It! Introduction to Deep Learning
haesunpark
무료
초급 / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(71)
This lecture guides readers to deep learning with the most appropriate pace and straight direction, one step from concept to formula and one step from coding. In addition, there are over 100 graphs, illustrations, and diagrams, so you can easily and quickly accept abstract concepts. Another unique feature of this lecture is that you can start practicing right away by simply accessing a web browser without installing a program. After comfortably understanding the theory, you can directly code and conquer four representative deep learning problems with your eyes, so it is not lacking as a textbook for deep learning. The concepts or terms that you must go over are reviewed twice in the ‘Wait! Let’s move on to the next’ corner in the middle of the text and the ‘Memory Card’ corner at the end of the chapter to increase the learning effect. Let’s quickly overcome deep learning head-on with ‘Do it! Introduction to Deep Learning.’
초급
Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
Do It! Introduction to Deep Learning
haesunpark
무료
초급 / Deep Learning(DL), Machine Learning(ML), Artificial Neural Network
4.9
(71)
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
(106)
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
(106)
AI-based recommendation system
YoungJea Oh
₩39
7일만
20%
₩31
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow, kakao-tech
4.4
(8)
This course covers everything from the basic concepts of recommendation systems to the principles of applying deep learning. Learn about various recommendation algorithms such as collaborative filtering, content-based filtering, and hybrid recommendation systems, and develop practical skills for developing recommendation services!
중급이상
Deep Learning(DL), Machine Learning(ML), Recommendation System
AI-based recommendation system
YoungJea Oh
₩39
7일만
20%
₩31
중급이상 / Deep Learning(DL), Machine Learning(ML), Recommendation System, Python, Tensorflow, kakao-tech
4.4
(8)
From Introduction to Reinforcement Learning to Deep Q-learning/Policy Gradient
YoungJea Oh
₩43
7일만
17%
₩35
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
7일만
17%
₩35
중급이상 / Deep Learning(DL), Reinforcement Learning(RL), Python, PyTorch
4.6
(31)
![[Pytorch] Building Deep Learning Models with Pytorch강의 썸네일](https://cdn.inflearn.com/public/courses/329226/cover/056ed444-5b26-40fc-b4d6-8e03b2f23890/DL_pytorch.jpg?f=avif&w=420)
[Pytorch] Building Deep Learning Models with Pytorch
YoungJea Oh
₩43
7일만
17%
₩35
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(10)
Learn how to build deep learning models directly through intuitive and Pythonic PyTorch. This reflects the latest PyTorch version.
초급
PyTorch, Anaconda, CNN
[Pytorch] Building Deep Learning Models with Pytorch
YoungJea Oh
₩43
7일만
17%
₩35
초급 / PyTorch, Anaconda, CNN, Deep Learning(DL), Artificial Neural Network
5.0
(10)
Triangles in action! OpenAI Triton beginner
triangle
₩116
초급 / Deep Learning(DL), Python, gpgpu, triton, openai, kernel-programming, CNN, dropout, relu, argmax
4.1
(7)
In this course, you will learn how to program kernels and develop PyTorch modules. You can use the knowledge you have gained to develop models faster.
초급
Deep Learning(DL), Python, gpgpu
Triangles in action! OpenAI Triton beginner
triangle
₩116
초급 / Deep Learning(DL), Python, gpgpu, triton, openai, kernel-programming, CNN, dropout, relu, argmax
4.1
(7)
CUDA Programming (6) - C/C++/GPU Parallel Computing - Search & Sort
onemoresipofcoffee
₩39
중급이상 / CUDA, GPU, C++, C
5.0
(7)
✅ Out of the entire series (1) ~ (6), (6) implements parallel search and parallel sort ✅ Explains NVIDIA GPU + CUDA programming from the basics step by step. ✅ Processes arrays/matrices/image processing/statistical processing/sorting, etc. very quickly with parallel computing in C++/C language.
중급이상
CUDA, GPU, C++
CUDA Programming (6) - C/C++/GPU Parallel Computing - Search & Sort
onemoresipofcoffee
₩39
중급이상 / CUDA, GPU, C++, C
5.0
(7)
CUDA Programming (2) - C/C++/GPU Parallel Computing - Vector Addition
onemoresipofcoffee
₩39
중급이상 / CUDA, GPU, Parallel Processing, C++, C
5.0
(8)
✅ Among the series of (1) to (6), (2) Simultaneous addition of vectors (1D arrays) in parallel ✅ NVIDIA GPU + CUDA programming is explained step by step from the basics. ✅ It processes arrays/matrices/image processing/statistical processing/sorting, etc. very quickly with parallel computing in C++/C language.
중급이상
CUDA, GPU, Parallel Processing
CUDA Programming (2) - C/C++/GPU Parallel Computing - Vector Addition
onemoresipofcoffee
₩39
중급이상 / CUDA, GPU, Parallel Processing, C++, C
5.0
(8)
Intuitively Understanding Deep Learning Transformers
nocope
₩42
초급 / Deep Learning(DL), transformer, attention-model
5.0
(5)
Understand the working of Deep Learning Transformer in a pictorial way
초급
Deep Learning(DL), transformer, attention-model
Intuitively Understanding Deep Learning Transformers
nocope
₩42
초급 / Deep Learning(DL), transformer, attention-model
5.0
(5)
![Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT Core Transformer) [Data Analysis/Science Part3]강의 썸네일](https://cdn.inflearn.com/public/courses/329540/cover/1be7b8cb-800f-48cb-a30c-b7d78996c075/329540-eng.png?f=avif&w=420)
Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT Core Transformer) [Data Analysis/Science Part3]
funcoding
₩59
초급 / Deep Learning(DL), PyTorch, Machine Learning(ML), Artificial Neural Network, Vision Transformer
4.9
(87)
This newly designed course, drawing from the instructor's initial deep learning failures, helps you progressively learn deep learning essentials: math, theory, PyTorch-based implementation, transfer learning, and GPT's core Transformer.
초급
Deep Learning(DL), PyTorch, Machine Learning(ML)
Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT Core Transformer) [Data Analysis/Science Part3]
funcoding
₩59
초급 / Deep Learning(DL), PyTorch, Machine Learning(ML), Artificial Neural Network, Vision Transformer
4.9
(87)
![Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]강의 썸네일](https://cdn.inflearn.com/public/courses/329829/cover/aa829cbc-ed61-4aa4-b848-3d8c576daee4/329829.jpg?f=avif&w=420)
Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]
choikiwon
₩13
입문 / Machine Learning(ML)
4.8
(62)
This is a basic machine learning course for those who don't know math and coding well, but want to understand machine learning trends and utilize machine learning technology to plan products.
입문
Machine Learning(ML)
Machine Learning Engineer's Guide to [AI That Reveals Itself as Much as You Know]
choikiwon
₩13
입문 / Machine Learning(ML)
4.8
(62)
30-Minute Summary Course Season 3: Deep Learning in Your Hands for Beginners!
jejucoding
무료
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(106)
This lecture is for those who have no knowledge of artificial intelligence, machine learning, deep learning, or data analysis but would like to experience it. I will explain the entire process.
입문
Machine Learning(ML), Deep Learning(DL)
30-Minute Summary Course Season 3: Deep Learning in Your Hands for Beginners!
jejucoding
무료
입문 / Machine Learning(ML), Deep Learning(DL)
4.8
(106)
Learn PyTorch Deep Learning Basics in 6 Days
hanky7479821
₩34
초급 / PyTorch, Deep Learning(DL), CNN, Python
5.0
(28)
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
(28)
Introduction to Deep Learning
Masocampus
₩46
초급 / Deep Learning(DL), Keras
4.0
(1)
What is deep learning? A course to introduce deep learning and how to use it in practice by completely organizing the concept of deep learning!
초급
Deep Learning(DL), Keras
Introduction to Deep Learning
Masocampus
₩46
초급 / Deep Learning(DL), Keras
4.0
(1)
(UPDATED) Personalized Recommendation System Using Python | Recommendation Algorithm | Recommendation Artificial Intelligence
거친코딩
₩34
초급 / Recommendation System, Deep Learning(DL)
4.7
(41)
By understanding the working principles of various recommendation algorithms, you can create your own personalized recommendation algorithm!
초급
Recommendation System, Deep Learning(DL)
(UPDATED) Personalized Recommendation System Using Python | Recommendation Algorithm | Recommendation Artificial Intelligence
거친코딩
₩34
초급 / Recommendation System, Deep Learning(DL)
4.7
(41)
Reinforcement learning core theory that is easy to understand
Chris Song
₩43
초급 / Reinforcement Learning(RL), Tensorflow, Machine Learning(ML)
3.5
(2)
In this lecture, you will learn the basic theory of reinforcement learning.
초급
Reinforcement Learning(RL), Tensorflow, Machine Learning(ML)
Reinforcement learning core theory that is easy to understand
Chris Song
₩43
초급 / Reinforcement Learning(RL), Tensorflow, Machine Learning(ML)
3.5
(2)
Exploring Deep Learning with Excel - CNN
hjk1000
₩4
초급 / VBA, Excel, CNN
5.0
(5)
Implementing deep learning basics with Excel to deeply understand their meaning! Learn how image data is processed!
초급
VBA, Excel, CNN
Exploring Deep Learning with Excel - CNN
hjk1000
₩4
초급 / VBA, Excel, CNN
5.0
(5)
![[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation강의 썸네일](https://cdn.inflearn.com/public/courses/326248/cover/945f4b20-e4e1-4d10-8e64-f2757c01736b?f=avif&w=420)
[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation
dlbro
₩57
초급 / Deep Learning(DL), Python, PyTorch, Artificial Neural Network, Machine Learning(ML)
4.6
(78)
This is a lecture on implementing various artificial neural networks using PyTorch, a deep learning framework with very high utility in the field of artificial intelligence.
초급
Deep Learning(DL), Python, PyTorch
[PyTorch] Deep Learning Leading to Practical AI - From Basics to Paper Implementation
dlbro
₩57
초급 / Deep Learning(DL), Python, PyTorch, Artificial Neural Network, Machine Learning(ML)
4.6
(78)
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
₩77
중급이상 / NLP, gpt, AI, ChatGPT, LLM
3.5
(2)
Explains the basic principles of large language models like ChatGPT, focusing on theory.
중급이상
NLP, gpt, AI
Understanding the Fundamental Principles of Large Language Models (LLMs)
arigaram
₩77
중급이상 / NLP, gpt, AI, ChatGPT, LLM
3.5
(2)
