ashishpatel26 / Andrew Ng Notes
This is Andrew NG Coursera Handwritten Notes.
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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 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
- 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 human-level performance
- Week2 - ML Strategy (2)
- Error Analysis
- Mismatched training and dev/test set
- Learning from multiple tasks
- End-to-end 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
- GRU
-
In This Section, you can learn about Sequence to Sequence Learning
-
Notebooks:
Thanks for Reading....Happy Learning...!!!
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