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.

As a deep learning enthusiast and a long-time self-taught learner, I have started MOOCs on Coursera with Machine Learning by Andrew Ng. I do understand the hard time you spend on understanding new concepts and debugging your program. Here I have bundled all my work from Deep learning specializtion. It's a treasure given by deeplearning.ai team.

This repo contains following modules.

• Course 1: Neural Networks and Deep Learning

  • Week 2 - PA 1 - Logistic Regression with a Neural Network mindset
  • Week 3 - PA 2 - Planar data classification with one hidden layer
  • Week 4 - PA 3 - Building your Deep Neural Network: Step by Step¶
  • Week 4 - PA 4 - Deep Neural Network for Image Classification: Application

• Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  • Week 1 - PA 1 - Initialization
  • Week 1 - PA 2 - Regularization
  • Week 1 - PA 3 - Gradient Checking
  • Week 2 - PA 4 - Optimization Methods
  • Week 3 - PA 5 - TensorFlow Tutorial

• Course 3: Structuring Machine Learning Projects

  • There is no PA for this course. But this course comes with very interesting case study quizzes.

• Course 4: Convolutional Neural Networks

  • Week 1 - PA 1 - Convolutional Model: step by step
  • Week 1 - PA 2 - Convolutional Model: application
  • Week 2 - PA 1 - Keras - Tutorial - Happy House
  • Week 2 - PA 2 - Residual Networks

• Course 5: Sequence Models

  • Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step
  • Week 1 - PA 2 - Character level language model - Dinosaurus land

There are concerns that some people may use the content here to quickly ace the course so I'll no longer update any quiz solution.

• Course 1: Neural Networks and Deep Learning

  • 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

• Course 2: Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

  • Week 1 Quiz - Practical aspects of deep learning
  • Week 2 Quiz - Optimization algorithms
  • Week 3 Quiz - Hyperparameter tuning, Batch Normalization, Programming Frameworks

• Course 3: Structuring Machine Learning Projects

  • Week 1 Quiz - Bird recognition in the city of Peacetopia (case study)
  • Week 2 Quiz - Autonomous driving (case study)