Master Deep Learning, and Break into AI
Instructor: Andrew Ng
This repo contains all my work for this specialization. All the code base, quiz questions, screenshot, and images, are taken from, unless specified, Deep Learning Specialization on Coursera.
- Course 1 - Neural Networks and Deep Learning:
- Course 2 - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization:
- Course 3 - Structuring Machine Learning Projects:
- Course 4 - Convolutional Neural Networks: Coming Soon
- Course 5 - Structuring Machine Learning Projects: Coming Soon
The Quiz solutions have been copied from this repository, no need to recreate something which done very well.
- Week 1 Quiz - Introduction to deep learning
- Week 2 Quiz - Neural Network Basics
- Week 3 Quiz - Shallow Neural Networks
- Week 4 Quiz - Key concepts on Deep Neural Networks
- Week 1 - No Programming Assignment.
- Week 2 - Python Basics with Numpy
- Week 2 - Logistic Regression as a Neural Network
- Week 3 - Planar data classification with one hidden layer
- Week 4 - Key concepts on Deep Neural Networks
- Week 4 - Key concepts on Deep Neural Networks
- Week 5 Quiz - Practical aspects of deep learning
- Week 6 Quiz - Optimization algorithms
- Week 7 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks
- Week 5 - Initialisation
- Week 5 - Regularization
- Week 5 - Gradient Checking
- Week 6 - Optimization Methods
- Week 7 - Tensorflow Tutorial
The Quiz solutions have been copied from this repository, no need to recreate something which done very well.