Deep Learning Specialization

Programming assignments and quizzes from all courses in the Coursera Deep Learning specialization offered by deeplearning.ai.

Instructor: Andrew Ng

Notes

Each course has a summary of course topics.

• Course 1: Neural Networks and Deep Learning

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

• Course 3: Structuring Machine Learning Projects

• Course 4: Convolutional Neural Networks

• Course 5: Sequence Models

Each week has summary of week topics.

• Course 1: Neural Networks and Deep Learning

  1. Week1

  2. Week2

  3. Week3

  4. Week4

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

  1. Week1

  2. Week2

  3. Week3

• Course 3: Structuring Machine Learning Projects

  1. Week1

  2. Week2

• Course 4: Convolutional Neural Networks

  1. Week1

  2. Week2

  3. Week3

  4. Week4

• Course 5: Sequence Models

  1. Week1

  2. Week2

  3. Week3

  4. Week4

Programming Assignments

Course 1: Neural Networks and Deep Learning

• Week 2 - PA 1 - Python Basics with Numpy
• Week 2 - PA 2 - Logistic Regression with a Neural Network mindset
• Week 3 - PA 3 - Planar data classification with one hidden layer
• Week 4 - PA 4 - Building your Deep Neural Network: Step by Step
• Week 4 - PA 5 - 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 are no programming assignments for this course. But this course comes with very interesting case study quizzes (below).

Course 4: Convolutional Neural Networks

• Week 1 - PA 1 - Convolutional Model: step by step
• Week 1 - PA 2 - Convolutional Neural Networks: Application
• Week 2 - PA ‍1 - Residual Networks
• Week 2 - PA 2 - Transfer Learning with MobileNet
• Week 3 - PA 1 - Car detection with YOLO for Autonomous Driving
• Week 3 - PA 2 - Image Segmentation Unet
• Week 4 - PA 1 - Art Generation with Neural Style Transfer
• Week 4 - PA 2 - Face Recognition

Course 5: Sequence Models

• Week 1 - PA 1 - Building a Recurrent Neural Network - Step by Step
• Week 1 - PA 2 - Dinosaur Land -- Character-level Language Modeling
• Week 1 - PA 3 - Jazz improvisation with LSTM
• Week 2 - PA 1 - Word Vector Representation and Debiasing
• Week 2 - PA 2 - Emojify!
• Week 3 - PA 1 - Neural Machine Translation with Attention
• Week 3 - PA 2 - Trigger Word Detection
• Week 4 - PA 1 - Transformers Architecture with tensorflow
• Week 4 - PA 2 - Transformer Preprocessing
• Week 3 - PA 3 - Transformer Network Application: Named-Entity Recognition
• Week 3 - PA 4- Transformer Network Application: Question Answering