Deep Learning Specialization on Coursera

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.

Goals

• Learn the foundations of Deep Learning
• Understand how to build neural networks
• Learn how to lead successful machine learning projects
• Learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.
• Work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing.
• Practice all these ideas in Python and in TensorFlow.

Courses

• Course 1: Neural Networks and Deep Learning

  • Week 1 - Introduction to deep learning

    • Quiz

  • Week 2 - Neural Networks Basics

    • Quiz
    • Notes 1 - Logistic Regression as a Neural Network
    • Notes 2 - Vectorization
    • Programming Assignment 1 - Python Basics with NumPy
    • Programming Assignment 2 - Logistic Regression with a Neural Network Mindset

  • Week 3 - Shallow Neural Networks

    • Quiz
    • Notes - Shallow neural networks
    • Programming Assignment - Planar Data Classification with one hidden layer

  • Week 4 - Deep Neural Networks

    • Quiz

    • Notes - Deep neural networks

    • Programming Assignment 1 - Building your Deep Neural Network - Step by Step

    • Programming Assignment 2 - Deep Neural Network Application: Image Classification