Deep Learning Specialization

The Deep Learning Specialization represents a series of online courses offered by deeplearning.ai and taught by Prof. Andrew Ng.

In addition to the fantastic lectures and programming assignments, you can also watch interviews with many leading researchers in Deep Learning. Solutions are released only for reference purpose.

Programming Assignments

• Course 1: Neural Networks and Deep Learning

  • Week 2 - PA1 - Logistic Regression with a Neural Network mindset
  • Week 3 - PA2 - Planar data classification with one hidden layer
  • Week 4 - PA3 - Building your Deep Neural Network: Step by Step
  • Week 4 - PA4 - Deep Neural Network for Image Classification: Application

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

  • Week 1 - PA1 - Initialization
  • Week 1 - PA2 - Regularization
  • Week 1 - PA3 - Gradient Checking
  • Week 2 - PA4 - Optimization
  • Week 3 - PA5 - TensorFlow

• Course 3: Structuring Machine Learning Projects

  • This course comes only with case study quizzes, no PA's.

• Course 4: Convolutional Neural Networks

  • Week 1 - PA1 - Convolutional Model: step by step
  • Week 1 - PA2 - Convolutional Model: application
  • Week 2 - Optional - Keras Tutorial - the Happy House
  • Week 2 - PA3 - Residual Networks
  • Week 3 - PA4 - Car Detection with YOLOv2
  • Week 4 - PA5 - Keras - Art generation with Neural Style Transfer (Novi Sad + Vang Gogh)
  • Week 4 - PA6 - Keras - Face Recognition for the Happy House

• Course 5: Sequence Models

  • Week 1 - PA1 - Building a Recurrent Neural Network - Step by Step
  • Week 1 - PA2 - Character level language model - Dinosaurus land
  • Week 1 - PA3 - Jazz improvisation with LSTM
  • Week 2 - PA4 - Word Vector Representation
  • Week 2 - PA5 - Emojify
  • Week 3 - PA6 - Neural machine translation with attention
  • Week 3 - PA7 - Trigger word detection