머신러닝 및 딥러닝 1/ Lecture 1. Intro to Deep Learning & Nearest Neighbor Classifiers
머신러닝 및 딥러닝 1/ Lecture 2. Linear & Softmax Classifiers
머신러닝 및 딥러닝 1/ Lecture 3. Convolutional Neural Networks
Lab 1. Introduction to PyTorch & Neural-net Basics
머신러닝 및 딥러닝 1/ Lecture 4. Convolutional Neural Networks
머신러닝 및 딥러닝 1/ Lecture 5. Training Neural Networks I
Lab 2. Convolutional Neural Networks with Visual Data
머신러닝 및 딥러닝 1/ Lecture 6. Training Neural Networks II
머신러닝 및 딥러닝 1/ Lecture 7. Sequential Data & Recurrent Neural Networks I
머신러닝 및 딥러닝 1/ Lecture 8: Recurrent Neural Networks II (LSTMs & Seq2seq Models)
Lab 3. More on Model Training & Sequential Data Modeling
머신러닝 및 딥러닝 1/ Lecture 9. Attention Mechanism & Transformers
Lab 4. Attention & Transformer Language Models