Deep Learning Specialization

Deep Learning Specialization Course on Coursera

My notes and assignments written in Python3.

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 Programming Assignment for this course.

• Course 4: Convolutional Neural Networks

  • Week 1 - PA 1 - Convolutional Model: step by step
  • Week 1 - PA 2 - Convolutional Model: Application
  • Week 2 - PA 3 - Keras Tutorial Happy House
  • Week 2 - PA 4 - Residual Networks
  • Week 3 - PA 5 - Autonomous driving application - Car Detection
  • Week 4 - PA 6 - Face Recognition for Happy House
  • Week 4 - PA 7 - Art Generation with Neural Style transfer

• Course 5: Convolutional Neural Networks

  • Week1 - PA 1 - Building a Recurrent Neural Network
  • Week1 - PA 2 - Character level Dinosaur Name generation
  • Week1 - PA 3 - Music Generation
  • Week2 - PA 4 - Operations on Word vectors
  • Week2 - PA 5 - Emojify
  • Week3 - PA 6 - Neural Machine translation with attention
  • Week3 - PA 7 - Trigger word detection