ML/DL 27
- 【Lecture 16】Gated Recurrent Units Jun 27, 2021
- 【Lecture 15】Long Short-Term Memory Jun 19, 2021
- 【Lecture 14】Recurrent Neural Networks Jun 6, 2021
- 【Lecture 13.6】Object Detection YOLO v1 May 30, 2021
- 【Lecture 13.5】Object Detection Faster R-CNN part2 May 16, 2021
- 【Lecture 13.5】Object Detection Faster R-CNN part1 May 9, 2021
- 【Special Course 2】Implementing Inception module using keras Functional API May 2, 2021
- 【Special Course 1】DNN practice & keras overview from Colab Apr 25, 2021
- 【Lecture 13.4】Fast R-CNN overview & details, ResNet fine-tuning practice Apr 10, 2021
- 【Lecture 13.3】Object Detection, SPPNET overview & details Apr 3, 2021
- 【Lecture 13.2】Object Detection, R-CNN details (Special study with laonpeople) Mar 27, 2021
- 【Lecture 13】Object Detection, R-CNN & SPPNET (Special study with laonpeople) Mar 20, 2021
- Ensemble 개념 정리 Mar 14, 2021
- 【Lecture 12.4】VGG , ResNet (Special study with laonpeople) Mar 13, 2021
- 【Lecture 12.3】GooLeNet (Special study with laonpeople) Mar 6, 2021
- 【Lecture 12.1 , 12.2】 Image Classification , CNN misc part (CSC321 2017 winter) Feb 27, 2021
- 【Lecture 11】 Convolutional Networks (CSC321 2017 winter) Feb 20, 2021
- 【Lecture 9】 Generalization (CSC321 2017 winter) Feb 6, 2021
- 【Lecture 7】 Optimization (CSC321 2017 winter) Jan 30, 2021
- 【Lecture 6】 Backpropagation (CSC321 2017 winter) Jan 14, 2021
- 【Lecture 5】 Multilayer Perceptrons (CSC321 2017 winter) Jan 9, 2021
- CSC321 스터디 진행 사항 (Toronto Univ. , Roger Grosse ) Jan 4, 2021
- SVM 개념 정리 및 활용 (sklearn) Oct 31, 2020
- Naive Bayesian 개념 정리 및 활용 (sklearn & R) Oct 28, 2020
- KNN 개념 정리 및 활용 (sklearn) Oct 27, 2020
- RandomForest 개념 정리 및 활용 (sklearn) Oct 26, 2020
- DecisionTree 개념 정리 및 활용 (sklearn) Oct 26, 2020