MAHIDOL UNIVERSITY CENTER
FOR SCIENTIFIC COMPUTING
| Instructor | Chaiwoot Boonyasiriwat |
| Class Hours | Friday, 9.00AM - 12.00PM |
| Classroom | Computer lab (6th floor) |
| Grading | assignment 60, project 40 |
| Slides |
05_tensorflow_keras.pdf 06_deep_learning.pdf 07_transfer_learning.pdf 08_computer_vision.pdf 09_rnn.pdf 10_generative_models.pdf |
| Data sets |
oxford_pets.zip jena_climate_2009_2016.csv |
| Date | Topics | Assignments |
|---|---|---|
| Aug 9, 2024 | Python programming | |
| Aug 16, 2024 | Artificial intelligence, machine learning, deep learning, and data science | |
| Aug 23, 2024 | Regression: simple linear regression, polynomial regression, multiple linear regression, nonlinear regression; optimization: MSE, MAE Data: AqSolDB.csv |
|
| Aug 30, 2024 | Optimization: gradient-based and metaheuristics optimizers | |
| Sep 6, 2024 | Neural networks: feedforward and recurrent neural networks, perception, multilayer perceptron (MLP) | |
| Sep 13, 2024 | Training feedforward neural networks, automatic differentiation | |
| Sep 20, 2024 | Techniques to avoid the overfitting problem: regularization, dropout, early stopping, data augmentation | |
| Sep 27, 2024 | Convolution, convolutional neural networks (CNNs), image classification | |
| Oct 4, 2024 | Transfer learning and fine tuning | |
| Oct 11, 2024 | Autoencoder, latent vector and latent space, data compression, noise reduction | |
| Oct 18, 2024 | Image segmentation, object detection | |
| Oct 25, 2024 | Hyperparameter tuning | |
| Nov 1, 2024 | Recurrent neural networks (RNNs) | |
| Nov 8, 2024 | Variational autoencoder | |
| Nov 15, 2024 | Generative adversarial network (GAN) | |
| Nov 22, 2024 | Natural language processing (NLP) | |
| Nov 29, 2024 | Natural language processing (continued) | |
| TBA | Project presentation |