[Summary: Absolutely not recommended for beginners, also not for those switching from Tensorflow, totally not recommended for this course itself; rather, have Chat GPT create a curriculum and learn from that.]

Initially, I gave a decent review, but the more I watched, the more absurd the quality was, so I'm revising my rating.

1.  Prerequisite Knowledge: Basic Python knowledge is nowhere near enough.

2.  Lecture Quality: Merely reading through pre-made Jupyter notebook files -> Lacks or has insufficient detailed explanations of object functions, preprocessing, etc.

3.  Lack of Q&A: With this lecture quality, Q&A is also not provided.

4.  Serious Code Readability and Inefficiency: If you're simply curious, pay for the course and see for yourself. You will regret it with 58,000% certainty.

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PyTorch Fundamentals: Code-Based Clarity is a complete guide for anyone wanting to implement deep learning models using PyTorch, from deep learning beginners to developers aiming for practical application.

Through 19 systematic lectures, you can perfectly master the core of deep learning, including PyTorch basics, deep learning algorithm implementation, overfitting problem resolution, and even CNN, RNN, GAN models.

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PyTorch Understood at Once with Code_Basic Edition

파이토치

코드로 한 번에 이해되는 파이토치 _기본편은 딥러닝 입문자부터 실무 적용을 원하는 개발자까지, 파이토치를 이용하여 딥러닝 모델을 구현하고 싶은 모든 사람들을 위한 완벽 가이드입니다.

19개의 체계적인 강의를 통해 파이토치 기초, 딥러닝 알고리즘 구현, 오버피팅 문제 해결, 그리고 CNN, RNN, GAN 모델까지 딥러닝의 핵심을 완벽하게 마스터할 수 있습니다.