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Deep Learning Specialisation

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

  1. Week 2 - Programming Assignment 1 - Logistic Regression with a Neural Network mindset
  2. Week 3 - Programming Assignment 2 - Planar data classification with one hidden layer
  3. Week 4 - Programming Assignment 3 - Building your Deep Neural Network: Step by Step
  4. Week 4 - Programming Assignment 4 - Deep Neural Network for Image Classification: Application

## IMPORTANT PAPERS

  1. AlexNet
  2. VGG
  3. Inception
  4. ResNet
  5. YOLO
  6. YOLO9000
  7. DeepFace
  8. FaceNet
  9. Neural Style Transfer

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