실습

🛠️Transformer Implementation

🛠️[데이콘] 도배 하자 분류

튜링의 사과 오리지널 워크숍 : LLM을 활용하여 RAG 구현 하기

이론

📚[1-2] Introduction & Supervised Learning

📚[3] Shallow Neural Networks

📚[4] Deep Neural Network

📚[5] Loss functions

📚[6] Fitting Models

📚[7] Gradients and Initialization

📚[8] Measuring Performance

📚[9] Regularization

📚[10] Convolution Networks

📚[11] Residual Networks

📚[12] Transformers

📚[13] Graph neural networks

📚[15] Generative Adversarial Networks

📚[16] Normalizing Flow