Introduction to Deep learning: Skooldio

This is a repository for the Skooldio's Introduction to Deep Learning course. It includes the notebooks for the course as follows:

Introduction to Pytorch
Introduction to Deep Learning for Thai Handwriting Recognition (Part 1: Overview)
Introduction to Deep Learning for Thai Handwriting Recognition (Part 2: More layers, Dropout, Augmentation)
Introduction to Deep Learning for Second-Hand Car Price Prediction

How to use

You can open each notebook and click the Google Colab badge to open the notebook on Google Colaboratory.

01_intro_to_torch.ipynb - Introduction to PyTorch tensors
01_pytorch_functional.ipynb - PyTorch functional API
02_handwritten_recognition.ipynb - Dense neural network to classify Thai handwritten numbers
02_load_and_pred.ipynb - Load model and run predictions
03_handwritten_recognition_explore.ipynb - Experiments with more layers, dropout, and augmentation
04_pytorch_for_tabular_data.ipynb - Deep learning for tabular data (car price prediction)
04_load_and_pred_carprice.ipynb - Load model and run predictions for car price
05_handwritten_gpu.ipynb - Thai handwriting recognition with GPU
06_tabular_data_gpu.ipynb - Tabular data training with GPU
student_notebooks/ - Notebooks for students to fill in
01-assigments-intro/ - Assignment notebooks

thai-handwritten-dataset is a collection of Thai handwritten numbers for Handwriting Recognition task from kittinan/thai-handwriting-number
rodkaidee-dataset is a second-hard car price dataset from Kaidee website in CSV format

You can checkout articles folder which contains articles about introduction, classification, and handwritten recognition.

Name		Name	Last commit message	Last commit date
01-assigments-intro		01-assigments-intro
articles		articles
rodkaidee-dataset		rodkaidee-dataset
student_notebooks		student_notebooks
thai-handwritten-dataset		thai-handwritten-dataset
.gitignore		.gitignore
.python-version		.python-version
01_intro_to_torch.ipynb		01_intro_to_torch.ipynb
01_pytorch_functional.ipynb		01_pytorch_functional.ipynb
02_handwritten_recognition.ipynb		02_handwritten_recognition.ipynb
02_load_and_pred.ipynb		02_load_and_pred.ipynb
03_handwritten_recognition_explore.ipynb		03_handwritten_recognition_explore.ipynb
04_load_and_pred_carprice.ipynb		04_load_and_pred_carprice.ipynb
04_pytorch_for_tabular_data.ipynb		04_pytorch_for_tabular_data.ipynb
05_handwritten_gpu.ipynb		05_handwritten_gpu.ipynb
06_tabular_data_gpu.ipynb		06_tabular_data_gpu.ipynb
README.md		README.md
main.py		main.py
pyproject.toml		pyproject.toml
test.py		test.py
uv.lock		uv.lock