Instructor: Andrew Ng
This repository contains all the solutions of the programming assignments along with few output images. It also has some of the important papers which are referred during the course.
NOTE : Use the solutions only for reference purpose :)
This specialisation has five courses.
Courses: - Course 1: Neural Networks and Deep Learning - Learning Objectives : 1. Understand the major technology trends driving Deep Learning 2. Be able to build, train and apply fully connected deep neural networks 3. Know how to implement efficient (vectorized) neural networks 4. Understand the key parameters in a neural network's architecture - Programming Assignments
Learning Objectives :
Programming Assignments
Course 3: Structuring Machine Learning Projects
Learning Objectives :
This course doesn't have any programming assignments
Course 4: Convolutional Neural Networks
Learning Objectives :
Programming Assignments
Course 5: Sequence Models
Learning Objectives :
Programming Assignments
## IMPORTANT PAPERS