Глубинное обучение (курс лекций)/2019
Материал из MachineLearning.
This is introductory course on deep learning models and their application for solving different problems of image and text analysis.
Instructors: Dmitry Kropotov, Victor Kitov, Nadezhda Chirkova, Oleg Ivanov and Evgeny Nizhibitsky.
E-mail for questions: bayesml@gmail.com. Please include in subject the tag [CMC DL19].
The timetable in Spring 2019: Fridays, room 685, lectures begin at 14-35, seminars begin at 16-20.
Announcements
Rules and grades
Practical assignments
Practical assignments are provided on course page in anytask.org. Invite code: ????
Lectures
| Date | No. | Topic | Materials |
|---|---|---|---|
| 15 Feb. 2019 | 1 | Introduction. Automatic differentiation. | |
| 22 Feb. 2019 | 2 | Optimization and regularization methods for neural networks | |
| 01 Mar. 2019 | 3 | Convolutional neural networks for image classification problem | |
| 15 Mar. 2019 | 4 | Convolutional neural networks for image segmentation problem | |
| 22 Mar. 2019 | 5 | Object detection and localization on images | |
| 29 Mar. 2019 | 6 | Image style transfer | |
| 05 Apr. 2019 | 7 | Recurrent neural networks | |
| 12 Apr. 2019 | 8 | Attention mechanism | |
| 19 Apr. 2019 | 9 | Generative adversarial networks | |
| 26 Apr. 2019 | 10 | Riemannian optimization | |
| 17 May 2019 | 11 |
Seminars
| Date | No. | Topic | Materials |
|---|---|---|---|
| 15 Feb. 2019 | 1 | Automatic differentiation. | |
| 22 Feb. 2019 | 2 | Introduction to Azure and Pytorch | |
| 01 Mar. 2019 | 3 | Convolutional neural networks for MNIST | |
| 15 Mar. 2019 | 4 | Deep learning contests | |
| 22 Mar. 2019 | 5 | Face recognition | |
| 29 Mar. 2019 | 6 | Image style transfer | |
| 05 Apr. 2019 | 7 | Recurrent neural networks | |
| 12 Apr. 2019 | 8 | Attention mechanism | |
| 19 Apr. 2019 | 9 | Generative adversarial networks | |
| 26 Apr. 2019 | 10 | Riemannian optimization | |
| 17 May 2019 | 11 |
