https://github.com/karanchawla/deeplearningspecialization-coursera
Deep Learning Specialization by Andrew Ng on Coursera
https://github.com/karanchawla/deeplearningspecialization-coursera
coursera deep-learning deep-neural-networks machine-learning neural-networks
Last synced: about 1 month ago
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Deep Learning Specialization by Andrew Ng on Coursera
- Host: GitHub
- URL: https://github.com/karanchawla/deeplearningspecialization-coursera
- Owner: karanchawla
- License: mit
- Created: 2017-08-16T02:35:43.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-08-30T21:36:22.000Z (over 7 years ago)
- Last Synced: 2025-03-28T10:47:35.222Z (about 2 months ago)
- Topics: coursera, deep-learning, deep-neural-networks, machine-learning, neural-networks
- Language: Jupyter Notebook
- Size: 2.39 MB
- Stars: 2
- Watchers: 1
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Deep Learning Specialization on Coursera
**Master Deep Learning, and Break into AI**
Instructor: [Andrew Ng](http://www.andrewng.org/)
## Introduction
This repo contains all my work for this specialization. All the programming exercises, quizes, and images, are taken from, unless specified, [Deep Learning Specialization on Coursera](https://www.coursera.org/specializations/deep-learning).
Currently this repo contains all te programming assignments for the first course.
## Programming Assigments
### Course 1: Neural Networks and Deep Learning
- [Week 2 PA1](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%202/Python%2BBasics%2BWith%2BNumpy%2Bv3.ipynb)
- [Week 2 PA2](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%202/Logistic%2BRegression%2Bwith%2Ba%2BNeural%2BNetwork%2Bmindset%2Bv3.ipynb)
- [Week 3 PA1](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%203/Planar%2Bdata%2Bclassification%2Bwith%2Bone%2Bhidden%2Blayer%2Bv3.ipynb)
- [Week 4 PA1](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%204/Building%2Byour%2BDeep%2BNeural%2BNetwork%2B-%2BStep%2Bby%2BStep%2Bv3.ipynb)
- [Week 4 PA2](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Neural%20Networks%20and%20Deep%20Learning/Week%204/Deep%2BNeural%2BNetwork%2B-%2BApplication%2Bv3.ipynb)
### Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- [Week 1 - PA 1 - Initialization](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Course_2/Initialization.ipynb)
- [Week 1 - PA 1 - Regularization](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Course_2/Regularization.ipynb)
- [Week 1 - PA 1 - Gradient Checking](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Course_2/Gradient%2BChecking.ipynb)
- [Week 1 - PA 1 - Optimization Methods](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Course_2/Optimization%20Methods.ipynb)
- [Week 1 - PA 1 - TensorFlow Tutorial](https://github.com/karanchawla/DeepLearningSpecialization-Coursera/blob/master/Course_2/TensorflowTutorial.ipynb)
### TO DO
- [ ] Add quiz screenshots
- [x] Add course 2 assignments