ai 24
- [LG Aimers] [수학-1] Matrix Decomposition
- [LG Aimers] [딥러닝-6] Self-Supervised Learning and Large-Scale Pre-Trained Models
- [LG Aimers] [딥러닝-5] Transformer
- [LG Aimers] [딥러닝-4] Seq2Seq with Attention for Natural Language Understanding and Generation
- [LG Aimers] [지도학습-6] More On Supervised Learning Beyond
- [LG Aimers] [지도학습-5] Logistic Regression
- [LG Aimers] [지도학습-4] Classification
- [CS231n 13강] Generative Models
- [LG Aimers] [지도학습-3] Gradient Descent
- [LG Aimers] [지도학습-2] Linear Regression
- [LG Aimers] Machine Learning 개론
- [LG Aimers] AI 윤리
- [CS231n 12강] Visualizing and Understanding
- [CS231n 11강] Detection and Segmentation
- [CS231n 10강] Recurrent Neural Networks
- [CS231n 9강] CNN Architectures
- [CS231n 8강] Deep Learning Software
- [CS231n 7강] Training Neural Networks II
- [CS231n 6강] Training Neural Networks I
- [CS231n 5강] Convolutional Neural Networks
- [CS231n 4강] Introduction to Neural Networks
- [CS231n 3강] Loss Functions and Optimization
- [CS231n 2강] Image Classification
- [CS231n 1강] Introduction to Convolutional Neural Networks for Visual Recognition