deeplearning.ai-coursera

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

Proof of my certification can be seen here.

Note: The material provided in this repository is only for helping those who may get stuck at any point of time in the course. It is strongly advised that no one should just copy the solutions(voilation of Coursera Honor Code) presented here.

Specialization Contents

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