Master Deep Learning, and Break into AI
Instructor: Andrew Ng, Kian Katanforoosh
This repo contains all my work for this specialization. All the code base, quiz questions, lecture note, ... in Deep Learning Specialization on Coursera.
- Deep Learning Specialization
- Neural Networks and Deep Learning
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Structuring Machine Learning Projects
- Convolutional Neural Networks
- Sequence Models
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Course 1: Neural Networks and Deep Learning
- Week 1: Introduction to Deep Learning
- Non-Assignment
- Week 2: Neural Networks Basics
- Week 3: Shallow Neural Networks
- Week 4: Deep Neural Network
- Week 1: Introduction to Deep Learning
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Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- Week 5: Practical Aspects of Deep Learning
- Week 6: Optimization Algorithms
- Week 7: Hyperparameter Tuning, Batch Normalization and Programming Frameworks
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Course 3: Structuring Machine Learning Projects
- Week 8: ML Strategy (1)
- Non-Assignment
- Week 9: ML Strategy (2)
- Non-Assignment
- Week 8: ML Strategy (1)
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Course 4: Convolutional Neural Networks
- Week 10: Foundations of Convolutional Neural Networks
- Week 11: Deep convolutional models: case studies
- Week 12: Object detection
- Week 13: Face recognition & Neural style transfer
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Course 5: Sequence Models
- Week 14: Recurrent Neural Networks
- Week 15: Natural Language Processing & Word Embeddings
- Week 16: Sequence models & Attention mechanism
- 2019 / 09 / 27 : Finished Course 1
- 2019 / 10 / 26 : Finished Course 2
- 2019 / 11 / 17 : Finished Course 3
- 2020 / 01 / 01 : Finished Course 4
- 2020 / 02 / 01 : Finished Course 5