Deep Learning Specialization on Coursera

Master Deep Learning, and Break into AI by Andrew Ng

Programming Assignments

• Course 1: Neural Networks and Deep Learning:

  • Week 1:

    • There are no programming assignments on this week

  • Week 2:

    • Python Basics with numpy (optional)
    • Logistic Regression with a Neural Network mindset mindset

  • Week 3:

    • Planar data classification with a hidden layer

  • Week 4:

    • Building your deep neural network: Step by Step
    • Deep Neural Network Application

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

  • Week 1:

    • Initialization
    • Regularization
    • Gradient Checking

  • Week 2:

    • Optimization

  • Week 3:

    • Tensorflow

• Course 3: Structuring Machine Learning Projects:

  • There are no programming assignments on this course

• Course 4: Convolutional Neural Networks:

  • Week 1:

    • Convolutional Model - Step by Step
    • Convolutional Model - Application

  • Week 2:

    • Keras Tutorial
    • Residual Networks

  • Week 3:

    • Car detection with YOLOv2

  • Week 4:

    • Art generation with Neural Style Transfer

    • Face Recognition for the Happy House

• Course 5: Sequence Models:

  • Week 1:

    • Building a recurrent neural network - step by step

    • Dinosaur Island - Character-Level Language Modeling

    • Jazz improvisation with LSTM

  • Week 2:

    • Operations on word vectors - Debiasing

    • Emojify

  • Week 3:

    • Machine Translation

    • Trigger word detection