Google Machine Learning Bootcamp 2024
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Google Machine Learning Bootcamp 2024
![image](https://github.com/Kyeong6/google-ml/assets/100195725/b8d3394b-9c3e-4b8b-a39f-356e08516b11)
Curriculum
Course |
Syllabus |
Start |
Deadline |
1st course: Neural Networks and Deep Learning |
Introduction to deep learning |
7/1 |
7/12 |
|
Neural Networks Basics |
|
|
|
Shallow neural networks |
|
|
|
Deep Neural Networks |
|
|
2nd course: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization |
Practical aspects of Deep Learning |
7/12 |
7/23 |
|
Optimization algorithms |
|
|
|
Hyperparameter tuning, Batch Normalization and Programming Frameworks |
|
|
3rd course: Structuring Machine Learning Projects |
ML Strategy (1) |
7/23 |
7/30 |
|
ML Strategy (2) |
|
|
4th course: Convolutional Neural Networks |
Foundations of Convolutional Neural Networks |
7/30 |
8/12 |
|
Deep convolutional models: case studies |
|
|
|
Object detection |
|
|
|
Special applications: Face recognition & Neural style transfer |
|
|
5th course: Sequence Models |
Recurrent Neural Networks |
8/12 |
8/24 |
|
Natural Language Processing & Word Embeddings |
|
|
|
Sequence models & Attention mechanism |
|
|
|
Transformer Network |
|
|
Goals
- The duration per lesson is one week
- Organize what you learned in the course and upload it to github
- Solve testing and programming challenges yourself, not with ChatGPT