#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
#ML
- 리그오브레전드의 승률 예측 모델을 이용한 챔피언 임베딩 시각화 at Nov 27, 2023
- 리그오브레전드의 챔피언 픽으로 승률 예측하기 at Nov 26, 2023
- 8 Lessons Learn Building Threat Detection Systems as an MLE at Nov 07, 2022
- 우버 - Michelangelo blog post at Jul 24, 2022
- 머신러닝에서의 time travel 문제 at Jul 11, 2022
5 posts
#Operation
- 8 Lessons Learn Building Threat Detection Systems as an MLE at Nov 07, 2022
- 우버 - Michelangelo blog post at Jul 24, 2022
- 머신러닝에서의 time travel 문제 at Jul 11, 2022
- Tips for Fluet logger at Jul 08, 2022
- Fluent Bit 동작 방식 이해를 위한 노트 at May 11, 2022
5 posts
#bazel
- Enabling S3 Filesystem Support for TensorFlow Serving at Jan 17, 2023
- Set up intellisense for Python and Bazel project for VSCode at Oct 04, 2022
- 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
5 posts
#book
- 책 - 아마존처럼 회의하라 at Dec 03, 2021
1 posts
#c++
- Implement a custom C/C++ DSO plugin for Fluent Bit at Mar 16, 2023
1 posts
#conference
- Google Cloud Next 24 Review at Apr 18, 2024
- Google Cloud Next 23 Review at Sep 26, 2023
- AWS re:Invent 2022 Review at Dec 13, 2022
- I/O Extended Seoul 2022 발표 - AI/ML at Google I/O 22 at Jun 21, 2022
- 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
11 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
#game
- 리그오브레전드의 승률 예측 모델을 이용한 챔피언 임베딩 시각화 at Nov 27, 2023
- 리그오브레전드의 챔피언 픽으로 승률 예측하기 at Nov 26, 2023
2 posts
#github
- GitHub Codespaces에서 Dev container 설정해보기 at Dec 02, 2021
1 posts
#golang
1 posts
#link-only
- [Link] Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development at May 08, 2022
- [Link] TFX와 함께 머신러닝 파이프라인 개발하기 at Mar 30, 2022
2 posts
#llvm
- MLIR 이야기 at Feb 19, 2022
1 posts
#nlp
- nori-clone 개발 노트 at Feb 18, 2022
- 형태소 분석기와 Branching entropy를 활용한 비지도 신조어 탐색 at Feb 16, 2022
- 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
8 posts
#non-tech
- 🎊 F8 2019 Hackathon at May 15, 2019
- Jpub 베타리더를 되돌아보며 at Apr 01, 2019
- 슬랙 개인용으로 사용하기 at Nov 28, 2018
3 posts
#note
- Smart image cropping using self-attention at May 15, 2022
- ML 엔지니어 입장에서 개발 언어에 대한 생각 at May 12, 2022
- 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
9 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
#protobuf
- proto3 문법의 optional label (Field presence) at Feb 17, 2022
1 posts
#python
- Set up intellisense for Python and Bazel project for VSCode at Oct 04, 2022
- 형태소 분석기와 Branching entropy를 활용한 비지도 신조어 탐색 at Feb 16, 2022
- 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
22 posts
#pytorch
- Smart image cropping using self-attention at May 15, 2022
- 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
8 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
- Enabling S3 Filesystem Support for TensorFlow Serving at Jan 17, 2023
- I/O Extended Seoul 2022 발표 - AI/ML at Google I/O 22 at Jun 21, 2022
- [Link] Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development at May 08, 2022
- [Link] TFX와 함께 머신러닝 파이프라인 개발하기 at Mar 30, 2022
- MLIR 이야기 at Feb 19, 2022
- 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
22 posts
#tfx
- Receiving Google Open Source Peer Bonus Award 2022 at Oct 04, 2022
- [Link] Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development at May 08, 2022
- [Link] TFX와 함께 머신러닝 파이프라인 개발하기 at Mar 30, 2022
- 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
5 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
#당근마켓
- [Link] Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development at May 08, 2022
- [Link] TFX와 함께 머신러닝 파이프라인 개발하기 at Mar 30, 2022
2 posts
포스트 갯수
총 포스트 갯수: 162
- 2024년 : 1 posts
- 2023년 : 5 posts
- 2022년 : 17 posts
- 2021년 : 34 posts
- 2020년 : 35 posts
- 2019년 : 52 posts
- 2018년 : 10 posts
- 2017년 : 8 posts
Post List
- Google Cloud Next 24 Review at Apr 18, 2024
- 리그오브레전드의 승률 예측 모델을 이용한 챔피언 임베딩 시각화 at Nov 27, 2023
- 리그오브레전드의 챔피언 픽으로 승률 예측하기 at Nov 26, 2023
- Google Cloud Next 23 Review at Sep 26, 2023
- Implement a custom C/C++ DSO plugin for Fluent Bit at Mar 16, 2023
- Enabling S3 Filesystem Support for TensorFlow Serving at Jan 17, 2023
- AWS re:Invent 2022 Review at Dec 13, 2022
- 8 Lessons Learn Building Threat Detection Systems as an MLE at Nov 07, 2022
- Receiving Google Open Source Peer Bonus Award 2022 at Oct 04, 2022
- Set up intellisense for Python and Bazel project for VSCode at Oct 04, 2022
- 우버 - Michelangelo blog post at Jul 24, 2022
- 머신러닝에서의 time travel 문제 at Jul 11, 2022
- Tips for Fluet logger at Jul 08, 2022
- I/O Extended Seoul 2022 발표 - AI/ML at Google I/O 22 at Jun 21, 2022
- Smart image cropping using self-attention at May 15, 2022
- ML 엔지니어 입장에서 개발 언어에 대한 생각 at May 12, 2022
- Fluent Bit 동작 방식 이해를 위한 노트 at May 11, 2022
- [Link] Why Karrot Uses TFX, and How to Improve Productivity on ML Pipeline Development at May 08, 2022
- [Link] TFX와 함께 머신러닝 파이프라인 개발하기 at Mar 30, 2022
- MLIR 이야기 at Feb 19, 2022
- nori-clone 개발 노트 at Feb 18, 2022
- proto3 문법의 optional label (Field presence) at Feb 17, 2022
- 형태소 분석기와 Branching entropy를 활용한 비지도 신조어 탐색 at Feb 16, 2022
- Writing gRPC client for TensorFlow Serving in other languages (golang) at Dec 29, 2021
- Full Stack Deep Learning Lecture 6 MLOps Infrastructure & Tooling at Dec 21, 2021
- How to import TensorFlow Serving APIs for C++ in Bazel project at Dec 15, 2021
- Full Stack Deep Learning Lecture 5 ML Projects at Dec 14, 2021
- How to configure .bazelrc with platform at Dec 13, 2021
- 책 - 아마존처럼 회의하라 at Dec 03, 2021
- DistilKoBERT sentence encoder 만들어보기 at Dec 02, 2021
- GitHub Codespaces에서 Dev container 설정해보기 at Dec 02, 2021
- SplitterWithOffsets - split_with_offsets를 UTF8 단위로 변경하기 at Nov 25, 2021
- Unity ML-Agents로 3DBalanceBall 예제 돌려보기 at Nov 16, 2021
- CS224W Lecture 4 Link Analysis: PageRank at Nov 11, 2021
- CS224W Lecture 3 Node Embeddings at Nov 11, 2021
- ML Community Day 정리 at Nov 10, 2021
- CS224W Lecture 2 Traditional feature based methods at Nov 08, 2021
- CS224W Lecture 1 Introduction at Oct 19, 2021
- (LaBSE + Load what you need) & TF Hub at Sep 27, 2021
- ViT는 태스크를 어떻게 풀어낼까? at Aug 23, 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
- CLIP Self Attention Visualization at May 04, 2021
- TensorFlow Datasets로 tfds-korean 작성하기 at Apr 25, 2021
- PyTorch Ecosystem Day 2021 at Apr 22, 2021
- Pretrained Transformers As Universal Computation Engines 리뷰 at Apr 19, 2021
- SentencePiece 새로운 토큰 추가하기 at Apr 16, 2021
- CS330 Lecture 2 Multi-Task & Meta-Learning Basics at Apr 06, 2021
- CS330 Lecture 1 Introduction & Overview at Mar 24, 2021
- TensorFlow의 softmax_cross_entropy_with_logits의 Non-determinism 이슈 at Mar 23, 2021
- TextSETTR: Label-Free Text Style Extraction and Tunable Targeted Restyling 리뷰 at Mar 21, 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
- C++ std::unique 동작 at Jan 02, 2021
- Hidden Technical Debt in Machine Learning Systems at Dec 28, 2020
- 하나의 조직에서 TensorFlow와 PyTorch 동시 활용하기 at Dec 04, 2020
- if(kakao)2020 세션 정리 at Nov 30, 2020
- 딥러닝 모델 서비스 A-Z 2편 - Knowledge Distillation at Nov 18, 2020
- PyTorch Developer Day 2020 at Nov 17, 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
- 한국어 띄어쓰기 모델 작성하기 at Sep 23, 2020
- MIXOUT: Effective Regularization to Finetune Large-scale Pretrained Language Model at Sep 08, 2020
- "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
- 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
- List Comprehension이 빠른 이유를 찾아보자 at Jun 21, 2020
- Apex's FusedLayerNorm vs Torch's LayerNorm at Jun 17, 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
- 🤗 The Future of Natural Language Processing - Model Size and Computational Efficiency at May 11, 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
- PEP(Python Enhancement Proposal)란 무엇일까 at Mar 27, 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
- 핑퐁팀의 Python 문화 구축기 at Feb 12, 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
- PyTorch C++ FrontEnd 개발환경 맥에서 세팅 at Oct 21, 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
- Pycon KR 2019 at Sep 03, 2019
- Review of "Attention Is All You Need" at Jul 21, 2019
- 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
- 2019 머신러닝 스터디잼 중급반 at May 19, 2019
- 🎊 F8 2019 Hackathon at May 15, 2019
- Mongo DB Sharding at Apr 22, 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
- Deep Learning Chapter 2 Linear Algebra at Apr 18, 2019
- CS224n Lecture 4 Backpropagation at Apr 13, 2019
- CS224n Lecture 3 Neural Network at Apr 09, 2019
- GloVe 논문 정리해보기 at Apr 08, 2019
- Negative Sampling 논문 정리해보기 at Apr 07, 2019
- jekyll 속도 올리기 at Apr 07, 2019
- CS224n Lecture 2 Word Vectors and Word Senses at Apr 07, 2019
- Word2Vec 논문 정리해보기 at Apr 06, 2019
- CS224n Lecture 1 Introduction and Word Vectors at Apr 06, 2019
- python assignment operator (PEP 572) at Apr 05, 2019
- flask에서 profiling 하기 at Apr 04, 2019
- 2019 Cloud Studyjam 중급반(k8s) 1 at Apr 02, 2019
- Jpub 베타리더를 되돌아보며 at Apr 01, 2019
- python의 profiler at Mar 01, 2019
- Python GIL at Feb 20, 2019
- Jekyll로 github pages 인식하기 at Feb 17, 2019
- Python Iterator at Feb 16, 2019
- Python에서 시간측정하기 at Feb 15, 2019
- 2019 머신러닝 스터디잼 입문반 at Feb 11, 2019
- Kubernetes 패키지 매니저 Helm at Feb 06, 2019
- docker-compose로 flask 개발환경 구성하기 at Feb 06, 2019
- 2019 클라우드 스터디잼 4~6 - kubernetes at Feb 04, 2019
- 2019 클라우드 스터디잼 1~3 - kubernetes at Feb 03, 2019
- Vue에서 v-html warning 없이 줄바꿈하기 at Dec 21, 2018
- 슬랙 개인용으로 사용하기 at Nov 28, 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
- 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
- Efficient BackProp 정리 at Jul 24, 2018
- CS231n Lecture 3. Loss Function and Optimization at Jul 22, 2018
- GitHub + CircleCI + AWS CodeDeploy 설정하기 at Oct 10, 2017
- 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
- 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