All Posts
2022
- 2022-08-15 cs224n - Lecture 10. Transformers and Pretraining
- 2022-03-26 cs224n - Lecture 9. Self-Attention and Transformers
- 2022-03-23 cs224n - Lecture 8. Attention (Contd.)
- 2022-03-23 cs224n - Lecture 7. Translation, Seq2Seq, Attention
- 2022-03-20 cs224n - Lecture 6. Simple and LSTM RNNs
- 2022-03-15 cs224n - Lecture 5. Language Models and RNNs
- 2022-03-11 cs224n - Lecture 4. Dependency Parsing
- 2022-03-08 cs224n - Lecture 3. Backprop and Neural Networks
- 2022-03-05 cs224n - Lecture 2. Neural Classifiers
- 2022-03-02 cs224n - Lecture 1. Word Vectors
- 2022-03-02 DevEnv Setup
- 2022-02-15 Mask R-CNN
- 2022-02-14 Starfish detection w/ TF Object Detection API
- 2022-02-07 cs231n - Lecture 15. Detection and Segmentation
- 2022-02-02 cs231n - Lecture 14. Visualizing and Understanding
- 2022-01-24 Unsupervised Representation Learning by Predicting Image Rotations
- 2022-01-19 cs231n - Lecture 13. Self-Supervised Learning
- 2022-01-09 cs231n - Lecture 12. Generative Models
- 2022-01-04 cs231n - Lecture 11. Attention and Transformers
- 2022-01-03 cs231n - Lecture 10. Recurrent Neural Networks
- 2022-01-02 cs231n - Lecture 9. CNN Architectures
2021
- 2021-12-27 cs231n - Lecture 8. Training Neural Networks II
- 2021-12-26 cs231n - Lecture 7. Training Neural Networks I
- 2021-12-18 cs231n - Lecture 6. Hardware and Software
- 2021-12-18 cs231n - Lecture 5. Convolutional Neural Networks
- 2021-12-15 cs231n - Lecture 4. Neural Networks and Backpropagation
- 2021-12-14 cs231n - Lecture 3. Loss Functions and Optimization
- 2021-12-13 cs231n - Lecture 2. Image Classification
- 2021-09-14 GNN-based Fashion Coordinator
- 2021-06-17 Stock Market Portfolio Modeling with R
- 2021-06-01 K-POP Fandom Data Analysis with networkX
- 2021-05-20 Stock Market Cluster Analysis with NetworkX
2020
- 2020-12-15 R - Air Pollution Data Analysis
- 2020-06-18 NLP - Korean Language Text Analysis with RNN
- 2020-05-27 ISLR - Chapter 10. Deep Learning
- 2020-05-20 ISLR - Chapter 9. Support Vector Machines
- 2020-05-13 ISLR - Chapter 8. Tree-Based Methods
- 2020-05-10 NLP - Text Analysis with ML algorithms
- 2020-05-06 ISLR - Chapter 7. Moving Beyond Linearity
- 2020-04-29 ISLR - Chapter 6. Linear Model Selection and Regularization
- 2020-04-22 ISLR - Chapter 5. Resampling Methods
- 2020-04-15 ISLR - Chapter 4. Classification
- 2020-04-02 ISLR - Chapter 3. Linear Regression
- 2020-03-15 ISLR - Chapter 2. Statistical Learning