This repository contains my completed programming assignments and research papers refrenced in the deeplearning.ai specialization by Andrew-Ng on Coursera.

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(Initialization-Regularization-Gradient Checking)
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