Deep Learning Specialization on Coursera

Master Deep Learning, and Break into AI

Instructor: Andrew Ng

Introduction

This repo contains all my work for this specialization. All the code base are taken from, Deep Learning Specialization on Coursera.

Programming Assignments

• 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

Certifications:

• Neural Networks and Deep Learning
• Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
• Structuring Machine Learning Projects
• Convolutional Neural Networks
• Sequence Models