Andrew NG Notes Collection

This is the first course of the deep learning specialization at Coursera which is moderated by DeepLearning.ai. The course is taught by Andrew Ng.

Andrew NG Machine Learning Notebooks : Reading

Deep learning Specialization Notes in One pdf : Reading

Sr No	Article Reading
1.	Neural Network Deep Learning
2.	Improving Deep learning Network
3.	Structure of ML Projects
4.	Convolutions Neural Network
5.	Sequence Models

Sr. No	MOOC LECTURE LINK
1.	Machine learning by Andrew-NG
	DEEP LEARNING SERIES
1.	Neural Network and Deep Learning
2.	Improving deep neural networks: hyperparameter tuning, regularization and optimization
3.	Structuring Machine Learning Projects
4.	Convolution Neural Network
5.	Sequence Models
6.	CS230: Deep Learning \| Autumn 2018

1.Neural Network Deep Learning

This Notes Give you brief introduction about :
Notebooks :
Week1 - Introduction to deep learning
Week2 - Neural Networks Basics
Week3 - Shallow neural networks
Week4 - Deep Neural Networks

2 Improving Deep learning Network

This Notes Give you introduction about :
Notebooks:
- Week1 - Practical aspects of Deep Learning
  - Setting up your Machine Learning Application
  - Regularizing your neural network
  - Setting up your optimization problem
- Week2 - Optimization algorithms
- Week3 - Hyperparameter tuning, Batch Normalization and Programming Frameworks

3.Structure ML Projects

In This Notes, you can learn about How to Structure Machine Learning Project:
- Why ML Structure?
- Error Analysis
Notebooks:
- Week1 - Introduction to ML Strategy
  - Setting up your goal
  - Comparing to human-level performance
- Week2 - ML Strategy (2)
  - Error Analysis
  - Mismatched training and dev/test set
  - Learning from multiple tasks
  - End-to-end deep learning