Deep Learning Course Code

This repository contains code for the Deep Learning course. This course covers fundamental and advanced topics in deep learning, with practical examples and projects.

Introduction

The Deep Learning course by Andrew Ng provides a comprehensive introduction to neural networks and deep learning. The code in this repository corresponds to various modules and assignments from the course.

Course Structure

1. An introduction to deep learning: Introduction to deep learning and neural networks

2. Basic neural network: Implementing logistic regression as a neural network

3. Python and vectorization: vectorization in neural network

4. narrow neural network: implementation on narrow neural networks and backpropagation

5. deep neural network: implementation on deep neural networks and backpropagation