About peterbyun969574

경력:

(현) ML Engineer @ MakinaRocks
(전) ML Engineer @ DearGen
(전) ML Engineer @ DeepBio
(전) Research Student @ UCL NLP Group, Streetbees
(전) Research Student @ ICL Photonics Lab

학력:

University College London (UCL): MSc in Machine Learning (머신러닝 석사) (학점: Distinction, GPA 4.0/4.0)
Imperial College London (ICL): BSc in Theoretical Physics (이론물리학 학사) (학점: First Class Honours, GPA 4.0/4.0)

소개:

5년차 Machine Learning Engineer입니다. (Google DeepMind가 출범하였고, Demis Hasabis가 박사과정을 한) University College London에서 머신러닝 석사를 전공하였습니다. 석사 때는 NLP에서 Knowledge Graph Embedding을 연구하였고, DeepBio에서는 Medical Diagnosis에 적용되는 Image Classification, Segmentation 딥러닝 모델들을 개발하였습니다. Deargen에서는 신약 개발의 Drug Target Interaction와 같은 문제 적용되는 GNN, RNN, Transformer 등등의 다양한 딥러닝 모델들을 적용한 경험이 있습니다. 현재 재직중인 MakinaRocks에서는 제조 현장의 로봇팔의 이상탐지에 적용되는 딥러닝 모델 및 머신러닝 시스템을 구축하고 있습니다.

Courses

Reviews

limtony12583
·
Complete mastery of deep learning theory + PyTorch practice
Complete mastery of deep learning theory + PyTorch practice
This is a lecture that even someone new to PyTorch can become familiar with through repeated listening, and it's excellent content from a new employee's perspective!
ttl90599338
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Complete mastery of deep learning theory + PyTorch practice
Complete mastery of deep learning theory + PyTorch practice
I love it!
koreabh02161928
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Complete mastery of deep learning theory + PyTorch practice
Complete mastery of deep learning theory + PyTorch practice
It was a good lecture that allowed me to review the theory again. I also appreciated the detailed answers to my questions.
aquarid22
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Complete mastery of deep learning theory + PyTorch practice
Complete mastery of deep learning theory + PyTorch practice
There are many good lectures on Infraon, but I can tell you that this is a lecture with excellent content that is definitely one of the best among lectures related to deep learning. I think it will be more helpful if you listen to it with a general understanding of the big concepts of deep learning. The important concepts for practical application were explained very clearly, and the theory part was more impressive than I expected, so learning PyTorch felt like a bonus. ㅎㅎ I started deep learning with TensorFlow, so I paid to learn PyTorch, but I gained a lot of theoretical concepts about techniques that I was curious about during my work, and I am also increasing my understanding of PyTorch coding methods by following the practice. In conclusion, this is a lecture and content that is definitely worth the 300,000 won! Thank you for providing such a great lecture ^^
eunjina05209718
·
Complete mastery of deep learning theory + PyTorch practice
Complete mastery of deep learning theory + PyTorch practice
This is a lecture that even a beginner who knows nothing about deep learning can follow. I think it would be easier to follow if you have some basic knowledge of Python. The lectures are broken up into short bursts, and since you can check the contents through the curriculum, it was helpful to be able to study while understanding the context in which the lectures were being conducted. There were times when I wanted to give up because the math content that came up here and there was difficult, but it was helpful because it was explained in a way that I could understand well. I bought a lot of books to study deep learning, but I gave up studying on my own several times, so I listened to the lecture for the first time. It was a million times more fun and easier to understand than reading a book on my own, so it was really good!! Thank you for the great lecture :)

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