Tags – Jeong Ukjae

#FSDL

Full Stack Deep Learning Lecture 6 MLOps Infrastructure & Tooling at Dec 21, 2021
Full Stack Deep Learning Lecture 5 ML Projects at Dec 14, 2021

2 posts

#bazel

Writing gRPC client for TensorFlow Serving in other languages (golang) at Dec 29, 2021
How to import TensorFlow Serving APIs for C++ in Bazel project at Dec 15, 2021
How to configure .bazelrc with platform at Dec 13, 2021

3 posts

#book

책 - 아마존처럼 회의하라 at Dec 03, 2021

1 posts

#conference

ML Community Day 정리 at Nov 10, 2021
🎊 PyTorch Ecosystem Day 2021 at Apr 22, 2021
편리한 NLP를 위한 TensorFlow-Text와 RaggedTensor at Feb 27, 2021
🎊 if(kakao)2020 세션 정리 at Nov 30, 2020
🎊 PyTorch Developer Day 2020 at Nov 17, 2020
🎊 Pycon KR 2019 at Sep 03, 2019
🎊 F8 2019 Hackathon at May 15, 2019

7 posts

#cs224n

📕 CS224n Lecture 18 Constituency Parsing and Tree Recursive Neural Networks at Jul 14, 2019
📕 CS224n Lecture 17 The Natural Language Decathlon: Multitask Learning as Question Answering at Jul 07, 2019
📕 CS224n Lecture 15 Natural Language Generation at Jun 29, 2019
📕 CS224n Lecture 14 Transformers and Self-Attention For Generative Models at Jun 09, 2019
📕 CS224n Lecture 13 Modeling contexts of use: Contextual Representations and Pretraining at Jun 09, 2019
📕 CS224n Lecture 12 Information from parts of words: Subword Models at Jun 09, 2019
📕 CS224n Lecture 11 ConvNets for NLP at Jun 08, 2019
📕 CS224n Lecture 10 (Textual) Question Answering at Jun 08, 2019
📕 CS224n Lecture 9 Practical Tips for Final Projects at May 26, 2019
📕 CS224n Lecture 8 Machine translation, Seq2seq, Attention at May 26, 2019
📕 CS224n Lecture 7 Vanishing Gradients, Fancy RNNs at May 19, 2019
📕 CS224n Lecture 6 Language Models and RNNs at Apr 21, 2019
📕 CS224n Lecture 5 Dependency Parsing at Apr 20, 2019
👨‍💻 CS224n assignments 1 & 2 at Apr 18, 2019
📕 CS224n Lecture 4 Backpropagation at Apr 13, 2019
📕 CS224n Lecture 3 Neural Network at Apr 09, 2019
📕 CS224n Lecture 2 Word Vectors and Word Senses at Apr 07, 2019
📕 CS224n Lecture 1 Introduction and Word Vectors at Apr 06, 2019

18 posts

#cs224w

CS224W Lecture 4 Link Analysis: PageRank at Nov 11, 2021
CS224W Lecture 3 Node Embeddings at Nov 11, 2021
CS224W Lecture 2 Traditional feature based methods at Nov 08, 2021
CS224W Lecture 1 Introduction at Oct 19, 2021

4 posts

#cs231n

KNN 방식의 Image Classifier at Sep 08, 2018
CS231n Lecture 5. Convolutional Neural Networks at Sep 06, 2018
CS231n Lecture 4. Introduction to Neural Networks at Sep 04, 2018
CS231n Lecture 3. Loss Function and Optimization at Jul 22, 2018
CS231n Python Numpy Tutorial at Aug 21, 2017
CS231n Nearest Neighbor 방식의 Image Classifier at Aug 21, 2017
CS231n Linear Classification 방식의 Image Classifier at Aug 21, 2017
CS231n KNN 방식의 Image Classifier at Aug 21, 2017
CS231n Lecture 2. Image Classification Pipeline at Aug 20, 2017
CS231n Lecture 1. Introduction to Convolutional Neural Networks for Visual Recognition at Aug 20, 2017

10 posts

#cs330

📕 CS330 Lecture 2 Multi-Task & Meta-Learning Basics at Apr 06, 2021
📕 CS330 Lecture 1 Introduction & Overview at Mar 24, 2021

2 posts

#github

GitHub Codespaces에서 Dev container 설정해보기 at Dec 02, 2021

1 posts

#nlp

DistilKoBERT sentence encoder 만들어보기 at Dec 02, 2021
(LaBSE + Load what you need) & TF Hub at Sep 27, 2021
SimCSE 리뷰 & KR-BERT 이용해서 구현해보기 at Jul 23, 2021
편리한 NLP를 위한 TensorFlow-Text와 RaggedTensor at Feb 27, 2021
한국어 띄어쓰기 모델 작성하기 at Sep 23, 2020
🤗 The Future of Natural Language Processing - Model Size and Computational Efficiency at May 11, 2020

6 posts

#non-tech

3 posts

#note

CLIP Self Attention Visualization at May 04, 2021
C++ std::unique 동작 at Jan 02, 2021
"Clean Architecture: A Craftsman's Guide to Software Structure and Design" 1 - Introduction and Programming Paradigms at Aug 24, 2020
Compound File Binary File Format 오버뷰..? at Aug 22, 2020
🍃 Mongo DB Sharding at Apr 22, 2019
📗 Deep Learning Chapter 2 Linear Algebra at Apr 18, 2019
GitHub + CircleCI + AWS CodeDeploy 설정하기 at Oct 10, 2017

7 posts

#paper

(LaBSE + Load what you need) & TF Hub at Sep 27, 2021
ViT는 태스크를 어떻게 풀어낼까? at Aug 23, 2021
SimCSE 리뷰 & KR-BERT 이용해서 구현해보기 at Jul 23, 2021
Pretrained Transformers As Universal Computation Engines 리뷰 at Apr 19, 2021
TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling 리뷰 at Mar 21, 2021
Hidden Technical Debt in Machine Learning Systems at Dec 28, 2020
최근 읽은 논문/아티클 정리 (Triplet Loss for Knowledge Distillation, Weight Distillation, Understanding and Improving Knowledge Distillation) at Oct 21, 2020
최근 읽은 논문/아티클 정리 (PRADO, Quasi-RNN, Advancing NLP with Efficient Projection-Based Model Architectures, Small and Practical BERT Models for Sequence Labeling) at Oct 13, 2020
최근 읽은 논문 정리 (AIN, Repulsive Attention, Improving Transformer Optimization Through Better Initialization, ReZero) at Sep 25, 2020
MIXOUT: Effective Regularization to Finetune Large-scale Pretrained Language Model at Sep 08, 2020
📃 On Layer Normalization in the Transformer Architecture 리뷰 at Jul 16, 2020
📃 Fast and Accurate Deep Bidirectional Language Representation for Unsupervised Learning 리뷰 at Jul 12, 2020
📃 Revealing the Dark Secrets of BERT 리뷰 at Jul 06, 2020
📃 Are Sixteen Heads Really Better than One? 리뷰 at May 18, 2020
📃 Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned 리뷰 at May 18, 2020
📃 DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation 리뷰 at May 02, 2020
📃 ZeRO: Memory Optimization Towards Training A Trillion Parameter Models 리뷰 at May 01, 2020
📃 TinyBERT: Distilling BERT For Natual Language Understanding 리뷰 at May 01, 2020
📃 Layer Normalization 리뷰 at May 01, 2020
📃 Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model 리뷰 at Apr 27, 2020
📃 Patient Knowledge Distillation for BERT Model Compression 리뷰 at Apr 16, 2020
📃 Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding 리뷰 at Apr 16, 2020
📃 Distilling the Knowledge in a Neural Network 리뷰 at Apr 16, 2020
📃 Q8BERT: Quantized 8Bit BERT 리뷰 at Apr 14, 2020
📃 FastBERT: a Self-distilling BERT with Adaptive Inference Time 리뷰 at Apr 14, 2020
📃 DynaBERT: Dynamic BERT with Adaptive Width and Depth 리뷰 at Apr 13, 2020
📃 transformers.zip 리뷰 at Oct 27, 2019
📃 ALBERT 리뷰 at Oct 27, 2019
📃 RoBERTa 리뷰 at Oct 27, 2019
📃 DistilBert 리뷰 at Oct 27, 2019
📃 GPT2 리뷰 at Oct 27, 2019
📃 GPT 리뷰 at Oct 20, 2019
📃 BERT 리뷰 at Oct 14, 2019
🔪 Mecab을 살펴보자 at Oct 09, 2019
📃 Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data at Oct 07, 2019
📃 Review of "Attention Is All You Need" at Jul 21, 2019
📃 GloVe 논문 정리해보기 at Apr 08, 2019
📃 Negative Sampling 논문 정리해보기 at Apr 07, 2019
📃 Word2Vec 논문 정리해보기 at Apr 06, 2019
Efficient BackProp 정리 at Jul 24, 2018

40 posts

#python

SplitterWithOffsets - split_with_offsets를 UTF8 단위로 변경하기 at Nov 25, 2021
SchemaGen의 결과물로부터 FeatureSpec을 얻는 방법 at Aug 10, 2021
TensorFlow Model.compile Customization 시 Mixed Precision Training 실패 at Jul 25, 2021
SimCSE 리뷰 & KR-BERT 이용해서 구현해보기 at Jul 23, 2021
CLIP Self Attention Visualization at May 04, 2021
SentencePiece 새로운 토큰 추가하기 at Apr 16, 2021
🐍 List Comprehension이 빠른 이유를 찾아보자 at Jun 21, 2020
🐍 PEP(Python Enhancement Proposal)란 무엇일까 at Mar 27, 2020
핑퐁팀의 Python 문화 구축기 at Feb 12, 2020
python assignment operator (PEP 572) at Apr 05, 2019
flask에서 profiling 하기 at Apr 04, 2019
python의 profiler at Mar 01, 2019
Python GIL at Feb 20, 2019
Python Iterator at Feb 16, 2019
Python에서 시간측정하기 at Feb 15, 2019
Flask로 CI 구성해보기 at Aug 30, 2017
CS231n Python Numpy Tutorial at Aug 21, 2017
CS231n Nearest Neighbor 방식의 Image Classifier at Aug 21, 2017
CS231n Linear Classification 방식의 Image Classifier at Aug 21, 2017
CS231n KNN 방식의 Image Classifier at Aug 21, 2017

20 posts

#pytorch

🎊 PyTorch Ecosystem Day 2021 at Apr 22, 2021
하나의 조직에서 TensorFlow와 PyTorch 동시 활용하기 at Dec 04, 2020
딥러닝 모델 서비스 A-Z 2편 - Knowledge Distillation at Nov 18, 2020
🎊 PyTorch Developer Day 2020 at Nov 17, 2020
🚀 Apex's FusedLayerNorm vs Torch's LayerNorm at Jun 17, 2020
딥러닝 모델 서비스 A-Z 1편 - 연산 최적화 및 모델 경량화 at Mar 11, 2020
🔥 PyTorch C++ FrontEnd 개발환경 맥에서 세팅 at Oct 21, 2019

7 posts

#scatterlab

TensorFlow Custom Op으로 데이터 변환 최적화하기; 4.697ms → 17.147μs at Jan 07, 2021
하나의 조직에서 TensorFlow와 PyTorch 동시 활용하기 at Dec 04, 2020
딥러닝 모델 서비스 A-Z 2편 - Knowledge Distillation at Nov 18, 2020
딥러닝 모델 서비스 A-Z 1편 - 연산 최적화 및 모델 경량화 at Mar 11, 2020
핑퐁팀의 Python 문화 구축기 at Feb 12, 2020

5 posts

#studyjam

🤖 2019 머신러닝 스터디잼 중급반 at May 19, 2019
2019 Cloud Studyjam 중급반(k8s) 1 at Apr 02, 2019
2019 머신러닝 스터디잼 입문반 at Feb 11, 2019
Kubernetes 패키지 매니저 Helm at Feb 06, 2019
2019 클라우드 스터디잼 4~6 - kubernetes at Feb 04, 2019
2019 클라우드 스터디잼 1~3 - kubernetes at Feb 03, 2019

6 posts

#tensorflow

Writing gRPC client for TensorFlow Serving in other languages (golang) at Dec 29, 2021
How to import TensorFlow Serving APIs for C++ in Bazel project at Dec 15, 2021
DistilKoBERT sentence encoder 만들어보기 at Dec 02, 2021
(LaBSE + Load what you need) & TF Hub at Sep 27, 2021
TFX 1.0 이하 버전, KubeFlow 상에서 메시지가 너무 커서 실행이 불가능할 때 at Aug 20, 2021
SchemaGen의 결과물로부터 FeatureSpec을 얻는 방법 at Aug 10, 2021
TensorFlow Model.compile Customization 시 Mixed Precision Training 실패 at Jul 25, 2021
SimCSE 리뷰 & KR-BERT 이용해서 구현해보기 at Jul 23, 2021
TensorFlow Datasets로 tfds-korean 작성하기 at Apr 25, 2021
TensorFlow의 softmax_cross_entropy_with_logits의 Non-determinism 이슈 at Mar 23, 2021
TensorFlow의 SparseCategoricalCrossentropy의 from_logits 옵션 at Mar 08, 2021
편리한 NLP를 위한 TensorFlow-Text와 RaggedTensor at Feb 27, 2021
TensorFlow Custom Op으로 데이터 변환 최적화하기; 4.697ms → 17.147μs at Jan 07, 2021
하나의 조직에서 TensorFlow와 PyTorch 동시 활용하기 at Dec 04, 2020
딥러닝 모델 서비스 A-Z 2편 - Knowledge Distillation at Nov 18, 2020
딥러닝 모델 서비스 A-Z 1편 - 연산 최적화 및 모델 경량화 at Mar 11, 2020
성능을 위한 TensorFlow Serving 커스텀 빌드 at Feb 26, 2020

17 posts

#unity

Unity ML-Agents로 3DBalanceBall 예제 돌려보기 at Nov 16, 2021

1 posts

#web

Vue에서 v-html warning 없이 줄바꿈하기 at Dec 21, 2018
VSCode에서 Aliasing된 경로들 intellisense 지원하기 at Nov 22, 2018
CircleCI에서 jest 사용할 때 ENOMEM이 뜨는 오류 at Nov 22, 2018
Channel IO 커스텀화 at Oct 28, 2018

4 posts

포스트 갯수

총 포스트 갯수: 140

2021년 : 34 posts
2020년 : 35 posts
2019년 : 52 posts
2018년 : 11 posts
2017년 : 8 posts