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Study mode:
on
1
- Introduction to competition
2
- Why?
3
- The data and the task
4
- Metric used
5
- A more in depth look at the data
6
- The steps of the solution
7
- Code: config
8
- Code: dataset
9
- Code: split_data
10
- Understanding submission format
11
- Code: utils
12
- Code: train/main file
13
- Fixing a small error
14
- Checking the score of submission
15
- How to improve it further?
16
- My 2 things to try for improving the score
17
- Ending & my thoughts on Kaggle
Description:
Learn to implement a top 5 Kaggle solution for detecting facial keypoints using deep learning in this comprehensive tutorial video. Explore the competition details, understand the data and task at hand, and delve into the metric used for evaluation. Gain insights into the solution steps, including code implementation for configuration, dataset handling, data splitting, and submission format. Follow along with the main training file, troubleshoot errors, and discover ways to improve your score. Conclude with valuable tips and reflections on participating in Kaggle competitions.

Detecting Facial Keypoints with Deep Learning

Aladdin Persson
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