Deep learning and Neural Network Learning Notes

About this repository

This is the code and learning notes about Deep learning and Neural Network taught by Andrew Ng. This repository contains the programming assignments about this lesson. Also, I wrote some learning notes in my blog.

Learning Notes

Course 1 Deep Learning and Neural Networks

1⃣️ assignment 1 Logistic Regression with a Neural Network mindset

2⃣️ assignment 2 Planar data classification with one hidden layer

3⃣️ assignment 3,4 Building your Deep Neural Network - Step by Step &
Deep Neural Network for Image Classification: Application

Course 2 Improving Deep Neural Networks

1⃣️ assignment 1 Initialization,Regularization and Gradient Checking

2⃣️ assignment 2 Optimization Methods

3⃣️ assignment 3 TensorFlow Tutorial

Course 3 Structure Machine Learning Project

(This course has no programming assignment)

1⃣️ Machine Learning Strategy(1)

2⃣️ Machine Learning Strategy(2)

Course 4 Convolutional Neural Networks

1⃣️ assignment 1 Intro to Convolutional Neural Networks

2⃣️ assignment 2 Deep Convolutional Neural Networks

3⃣️ assignment 3 Intro to Object Detection

4⃣️ assignment 4,5 Face Recognition for the Happy House &
Deep Learning & Art: Neural Style Transfer

Problems and Advice

All suggestions and corrections are highly welcomed. I'd appreciated if you can help me build this repository better. Questions about this lesson will be answered promptly if you open an issue here (only if I can).