• My assignments on "Deep Learning Specialization" by Andrew Ng (deeplearning.ai)
• This specialization consists of 5 courses :
  • Neural Networks and Deep Learning  
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  • Structuring Machine Learning Projects
  • Convolutional Neural Networks
  • Sequence Models

Deep Learning

+ Neural Networks and Deep Learning
+ Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
+ Structuring Machine Learning Projects
+ Convolutional Neural Networks
+ Sequence Models

Course 1. Neural Networks and Deep Learning

 + Week1 - Introduction to deep learning
 + Week2 - Neural Networks Basics
 + Week3 - Shallow neural networks
 + Week4 - Deep Neural Networks

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

 + Week1 - Practical aspects of Deep Learning
 + Week2 - Optimization algorithms
 + Week3 - Hyperparameter tuning, Batch Normalization and Programming Frameworks

Course 3. Structuring Machine Learning Projects

 + Week1 - ML Strategy (1)
 + Week2 - ML Strategy (2)

Course 4. Convolutional Neural Networks

 + Week1 - Foundations of Convolutional Neural Networks
 + Week2 - Deep convolutional models: case studies
 + Week3 - Object detection 
 + Week4 - Special applications: Face recognition & Neural style transfer

Course 5. Sequence Models

 + Week1 - Recurrent Neural Networks
 + Week2 - Natural Language Processing & Word Embeddings
 + Week3 - Sequence models & Attention mechanism

Due to the Coursera Code, the graded lines are not completed Only the result is displayed. All the assignments and the non generated files are from the Coursera Courses