AI Core 30
- [BoostCamp AI Tech / NLP 이론] Self-supervised Pre-training Model: BERT
- [BoostCamp AI Tech / NLP 이론] Transformer 2
- [BoostCamp AI Tech / NLP 이론] Transformer 1
- [BoostCamp AI Tech / NLP 이론] Seq2Seq with Attention
- [BoostCamp AI Tech / Generative AI] Image Generation
- [BoostCamp AI Tech / Generative AI] Text Generation-sLLM Models
- [BoostCamp AI Tech / Generative AI] Text Generation-LLM Parameter Efficient Tuning
- [BoostCamp AI Tech / Generative AI] Text Generation-LLM Pretrained Models
- [BoostCamp AI Tech / Generative AI] Generative AI Introduction
- [BoostCamp AI Tech / ML for RecSys] 변분추론
- [BoostCamp AI Tech / ML for RecSys] 생성모델
- [BoostCamp AI Tech / ML for RecSys] 최신 RecSys 동향 및 통계학 기본
- [BoostCamp AI Tech / NLP 이론] LSTM과 GRU
- [BoostCamp AI Tech / NLP 이론] Exploding and Vanishing Gradient of Recurrent Neural Network
- [BoostCamp AI Tech / NLP 이론] RNN과 Language Modeling
- [BoostCamp AI Tech / NLP 이론] Word Embedding
- [BoostCamp AI Tech / NLP 이론] Tokenization
- [BoostCamp AI Tech / CV 이론] Segmentation & Detection
- [BoostCamp AI Tech / CV 이론] CNN 시각화와 데이터 증강
- [BoostCamp AI Tech / CV 이론] CNN to ViT
- [BoostCamp AI Tech / ML LifeCycle] Transformer3: Transformer
- [BoostCamp AI Tech / ML LifeCycle] Transformer2: Attention
- [BoostCamp AI Tech / ML LifeCycle] Transformer1: RNN-based Seq2seq model
- [BoostCamp AI Tech / ML LifeCycle] 기초 신경망 이론 4: Trainig Neural Networks
- [BoostCamp AI Tech / ML LifeCycle] 기초 신경망 이론 3: Trainig Neural Networks
- [BoostCamp AI Tech / ML LifeCycle] 기초 신경망 이론 2: Backpropagation
- [BoostCamp AI Tech / ML LifeCycle] 기초 신경망 이론 1: Neural Network
- [BoostCamp AI Tech / ML LifeCycle] 선형대수: Linear Classifier and Softamx Classifier
- [BoostCamp AI Tech / ML LifeCycle] 선형대수: Regression and NN Classifier
- [BoostCamp AI Tech / ML LifeCycle] ML LifeCycle