Deep Learning Specialization on Coursera
Taught by: Andrew Ng
This repository contains all my programming assignments for this Specialization. Coursera provided a detailed explaination in each notebook for a better understanding and also some helper function to but you on a good start.
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Course 1: Neural Networks and Deep Learning
- There are 5 Jupyter notebooks for each assignment in this course
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Course 2: Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization
- There are 6 Jupyter notebooks for each assignment in this course
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Course 3: Structuring Machine Learning Projects
- There is no programming assignments in this course, but you can definitely check my course certificate.
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Course 4: Convolutional Neural Networks
- Attached with this folder 7 Jupyter notebooks for each assignment in this course
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Course 5: Sequence Models
- This is the last course in this Specialization and it contains 7 Jupyter notebooks for each assignment in this course
- 11/09/2019 Finished the 1st course
- 14/02/2020 Finished the 2nd course
- 25/02/2020 Finished the 3rd course
- 15/03/2020 Finished the 4th course
- 24/03/2020 Finished the 5th course and The Specialization
- You can check the certificate on Coursera from here