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Deep Learning & Machine Learning

Deep Learning and PyTorch Bootcamp for Beginners (Easy! From Basics to ChatGPT's Core Transformer) [Data Analysis/Science Part 3]

This is a newly designed course that allows you to gradually learn the mathematics, theory, PyTorch-based implementation, transfer learning, and GPT's core transformer needed to understand deep learning, based on the instructor's own failed experiences when first learning deep learning.

(4.9) 93 reviews

1,676 learners

Level Basic

Course period Unlimited

  • funcoding
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network
Vision Transformer
Vision Transformer
Deep Learning(DL)
Deep Learning(DL)
PyTorch
PyTorch
Machine Learning(ML)
Machine Learning(ML)
Artificial Neural Network
Artificial Neural Network
Vision Transformer
Vision Transformer
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funcoding님의 프로필 이미지
funcoding

[Fun Coding] Course Renewal Announcement

Hello. This is Dave Lee from Janjaemi Coding.

I've renewed the lecture and am sharing it with you in a lighter way.

This is a lecture that many people have taken and liked. We have renewed the following lecture, which contains functions for preprocessing, analyzing, and visualizing data based on Python. We have improved the parts that seemed lacking in the existing lecture, and in the data field, there are cases where the grammar is different depending on the library version. We have improved it to match the latest library. We have also improved the lecture by adding stories from a more practical perspective. Those who have already taken the lecture can listen to it again.

[Renewal] Python Data Analysis for Beginners (Easy! Learn Preprocessing, Pandas, and Visualization) [Data Analysis/Science Part 1]

Just like this lecture, the next lecture is also scheduled to be renewed by the end of this month, and we will continue to improve other lectures in the future.

Beginner Python Machine Learning Bootcamp (Easy! Organize by Solving Real Kaggle Problems) [Data Analysis/Science Part 2]

I hope this will be helpful to those who are interested in related lectures.
thank you

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