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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
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| 2026-07-31 | 1760 |
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# Deep Learning Specialization on Coursera
### [Master Deep Learning, and Break into AI](https://www.coursera.org/specializations/deep-learning)
This is my personal projects for the course. The course covers deep learning from begginer level to advanced. Highly recommend anyone wanting to break into AI.
Instructor: [Andrew Ng, DeepLearning.ai]()
## Course 1. [Neural Networks and Deep Learning](https://www.youtube.com/watch?v=CS4cs9xVecg&list=PLkDaE6sCZn6Ec-XTbcX1uRg2_u4xOEky0)
1. Week1 - [Introduction to deep learning](https://github.com/enggen/Deep-Learning-Coursera/tree/master/Neural%20Networks%20and%20Deep%20Learning)
2. Week2 - [Neural Networks Basics](https://github.com/enggen/Deep-Learning-deeplearning.ai/blob/master/Neural%20Networks%20and%20Deep%20Learning/Logistic%20Regression%20with%20a%20Neural%20Network%20mindset.ipynb)
3. Week3 - [Shallow neural networks](https://github.com/enggen/Deep-Learning-deeplearning.ai/blob/master/Neural%20Networks%20and%20Deep%20Learning/Logistic%20Regression%20with%20a%20Neural%20Network%20mindset.ipynb)
4. Week4 - [Deep Neural Networks](https://github.com/enggen/Deep-Learning-deeplearning.ai/tree/master/Neural%20Networks%20and%20Deep%20Learning)
## Course 2. [Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization](https://www.youtube.com/watch?v=1waHlpKiNyY&list=PLkDaE6sCZn6Hn0vK8co82zjQtt3T2Nkqc)
1. Week1 - [Practical aspects of Deep Learning](https://github.com/enggen/Deep-Learning-deeplearning.ai/tree/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization)
- Setting up your Machine Learning Application
- Regularizing your neural network
- Setting up your optimization problem
2. Week2 - [Optimization algorithms](https://github.com/enggen/Deep-Learning-deeplearning.ai/tree/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization)
3. Week3 - [Hyperparameter tuning, Batch Normalization and Programming Frameworks](https://github.com/enggen/Deep-Learning-Coursera/tree/master/Improving%20Deep%20Neural%20Networks%20Hyperparameter%20tuning%2C%20Regularization%20and%20Optimization)
## Course 3. [Structuring Machine Learning Projects](https://www.youtube.com/watch?v=dFX8k1kXhOw&list=PLkDaE6sCZn6E7jZ9sN_xHwSHOdjUxUW_b)
1. Week1 - [Introduction to ML Strategy](https://github.com/enggen/Deep-Learning-Coursera/blob/master/Structuring%20Machine%20Learning%20Projects/Week%201%20Quiz%20-%20Bird%20recognition%20in%20the%20city%20of%20Peacetopia%20(case%20study).md)
- Setting up your goal
- Comparing to human-level performance
2. Week2 - [ML Strategy (2)](https://github.com/enggen/Deep-Learning-Coursera/blob/master/Structuring%20Machine%20Learning%20Projects/Week%202%20Quiz%20-%20Autonomous%20driving%20(case%20study).md)
- Error Analysis
- Mismatched training and dev/test set
- Learning from multiple tasks
- End-to-end deep learning
## Course 4. [Convolutional Neural Networks](https://www.youtube.com/watch?v=ArPaAX_PhIs&list=PLkDaE6sCZn6Gl29AoE31iwdVwSG-KnDzF)
1. Week1 - [Foundations of Convolutional Neural Networks](https://github.com/enggen/Deep-Learning-Coursera/tree/master/Convolutional%20Neural%20Networks/Week1)
2. Week2 - [Deep convolutional models: case studies](https://github.com/enggen/Deep-Learning-Coursera/tree/master/Convolutional%20Neural%20Networks/Week2/ResNets) - Papers for read: [ImageNet Classification with Deep Convolutional
Neural Networks](https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf), [Very Deep Convolutional Networks For Large-Scale Image Recognition](https://arxiv.org/pdf/1409.1556.pdf)
3. [Week3 - Object detection](https://github.com/enggen/Deep-Learning-Coursera/tree/master/Convolutional%20Neural%20Networks/Week3/Car%20detection%20for%20Autonomous%20Driving) - Papers for read:Excerpt of 5,234 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:234e99d872a89a7e, llm:Repository description: 'Deep Learning Specialization by Andrew Ng, deeplearning.ai.' (educational course content). Language: Jupyter Notebook.