You'll find on this repository my personal notes and summaries of the awesome Deep Learning Specialization of deeplearning.ai at Coursera. I wrote them to force me understand every concept as much as possible.
This really cool Specialization is composed of following 5 courses:
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
Note these summaries are (still?😝) not exhaustive and there exists much better ones. That's why, and especially for course 5, I advise you to read the following notes, they are really cool.
Kudos and thank you so much Andrew Ng, Kian Katan & Younes Bensouda Mourri! 🙌😊👍