Contents
assignment
Week 1, Day 1 (Introduction to the course) • Dec 12, 2020
computer_vision
Week 3, Day 3 (Unsupervised Learning) • Dec 26, 2020
Week 3, Day 2 (YOLO Model Training and Evaluation) • Dec 23, 2020
Week 3, Day 1 (Dataset Preparation and Arrangement) • Dec 23, 2020
Week 2, Day 2 (Introduction to Artificial Intelligence and Computer Vision) • Dec 19, 2020
Week 2, Day 1 (Introduction to Artificial Intelligence and Computer Vision) • Dec 19, 2020
Convolutional_Neural_Network
Week 2, Day 3 (Guided Project with Pytorch on Image Classification) • Dec 21, 2020
deep_learning
Week 4, Day 3 (Deep Q-Learning with Pytorch) • Dec 28, 2020
Week 4, Day 2 (Temporal-Difference Methods) • Dec 28, 2020
Week 4, Day 1 (Introduction to Reinforcement Learning Framework) • Dec 28, 2020
Week 3, Day 3 (Unsupervised Learning) • Dec 26, 2020
Week 3, Day 2 (YOLO Model Training and Evaluation) • Dec 23, 2020
Week 3, Day 1 (Dataset Preparation and Arrangement) • Dec 23, 2020
Week 2, Day 2 (Introduction to Artificial Intelligence and Computer Vision) • Dec 19, 2020
Week 2, Day 1 (Introduction to Artificial Intelligence and Computer Vision) • Dec 19, 2020
image_processing
Week 1, Day 3 (Introduction to Image Processing in Python) • Dec 16, 2020
installation_guide
Week 1, Day 1 (Introduction to the course) • Dec 12, 2020
overview
Week 1, Day 3 (Introduction to Image Processing in Python) • Dec 16, 2020
python
Week 1, Day 2 (Python for Data Science) • Dec 14, 2020
Pytorch
Week 2, Day 3 (Guided Project with Pytorch on Image Classification) • Dec 21, 2020
reinforcement_learning
Week 4, Day 3 (Deep Q-Learning with Pytorch) • Dec 28, 2020
Week 4, Day 2 (Temporal-Difference Methods) • Dec 28, 2020
Week 4, Day 1 (Introduction to Reinforcement Learning Framework) • Dec 28, 2020
student_id
Week 1, Day 1 (Introduction to the course) • Dec 12, 2020