deepleraning.ai-course

This is some records of Andrews' deeplearning.ai course from Coursera. I have uploaded my programming implement to this warehouse. There might be something wrong with my work, be free to email [email protected]. And if you can push your right answer, that will be grateful.
And to be clear, Ng's course is my first access to AI. I would love to share more learning experience on DL/ML, so I will put some good repos/articles on this page. Please read this whole REDEME, hope there is some thing helps you.
Read AI article on my blog

Course Contents

Neural Networks and Deep Learning
Week1　Introduction to deep learning
Week2　Neural Networks Basics
Week3　Shallow Neural networks
Week4　Deep Neural Networks

Improving Deep Neural Networks
Week1　Practical aspects of Deep Learning(Initialization-Regularization-Gradient Checking)
Week2　Optimization algorithms
Week3　Hyperparameter tuning, Batch Normalization and Programming Frameworks

Convolutional Neural Network
Week1　Foundations of Convolutional Neural Networks
Week2　Deep convolutional models: case studies
Week3　Object detection
Week4　Special applications: Face recognition & Neural style transfer

Sequence Models
Week1　Recurrent Neural Networks
Week2　Natural Language Processing & Word Embeddings
Week3　Sequence models & Attention mechanism

Blog Articles

• How to build Github Pages with jeklly
• Three ways for face detection
• Real Time Film-Lead Face Identify

About install tensorflow-gpu on windows

• Cause I found many people get many issues while installing tensorflow-gpu on windows, and there are many talks before tensorflow-1.4.0 shows like this on Stackoverflow.
• You will not face problem above again thanks to tensorflow-1.4.0!
• python3.6.x + cudnn6.0 + CUDA8.0 + tensorflow-1.4.0 work perfect!
• Remember move files in cundnn to CUDA8.0 accordingly (you also do this in the past)!

Learn Tensorflow and Deep Neural Network

• I recommend you a video course for learning tensorflow from Google here
• A good introduction about Deep Neural Network, download here
  
• Best results on standard dataset like MNIST, CIFAR-10/100, ILSVRC2012... here
  
• Keras Documentation Chinese Version here
  
• Deep Learning by Goodfellow here

Some Good Machine Learning Tutorial

• Expectation Maximization(EM) course by Xu Yida on Youtube
  
• Understanding Variational Autoencoders (VAEs) from two perspectives: deep learning and graphical models

Some good repo

• GANs with keras here
  
• GANs with pytorch here

Update Records

• Specialization 4 Done!　2017/11/13
• Move Course Records to Records.md　2017/11/14
• Add Expectation Maximization(EM) course links　2017/12/13
• Add a Chinese Version keras tutorial　2018/2/23
• Specialization 5 Done!　2018/3/8
• Add GANs repo 2018/5/13

Thanks for Andrew Ng!