ashishpatel26/AndrewNGNotes
This is Andrew NG Coursera Handwritten Notes.
repo name  ashishpatel26/AndrewNGNotes 
repo link  https://github.com/ashishpatel26/AndrewNGNotes 
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created  20190608 
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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 AndrewNG 
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
 Week1  Practical aspects of Deep Learning
3.Structure ML Projects
 In This Notes, you can learn about How to Structure Machine Learning Project:
 Notebooks:
 Week1  Introduction to ML Strategy
 Setting up your goal
 Comparing to humanlevel performance
 Week2  ML Strategy (2)
 Error Analysis
 Mismatched training and dev/test set
 Learning from multiple tasks
 Endtoend deep learning
 Week1  Introduction to ML Strategy
4.Convolution Neural Network
 Matrix Multiplication Between Image and Kernel Known as Convolution Operation
 In This Notes, you can learn about Brief architecture CNN:
 Notebooks :
 Week1  Foundations of Convolutional Neural Networks
 Week2  Deep convolutional models: case studies
 Week3  Object detection
 Papers for read:
 Week4  Special applications: Face recognition & Neural style transfer
 Papers for read:
5.Sequence Models

Vanila RNN

LSTM
 GRU

In This Section, you can learn about Sequence to Sequence Learning

Notebooks:
Thanks for Reading….Happy Learning…!!!