This repo includes all the example codes and datasets used in my book 'Introduction to Deep Learning'. The purpose of this book is to document my teachings in a physical form and make it accessible for students with limited resources to learn from. The book aims to provide a comprehensive and easy-to-follow introduction to the fundamental concepts of deep learning methods.
I believe that hands-on learning is crucial for understanding, and thus, the explanations in the book are accompanied by detailed Python code snippets throughout the text. Readers can follow the instructions and run the code in this repository on their own computer or on an online platform such as Google Colab.
- Log in to GitHub.
- Navigate to the Repository:
- Fork the Repository:
- In the top-right corner of the page, click
Fork
. - This will create a copy of the repository under your GitHub account.
- In the top-right corner of the page, click
To get a local copy of your forked repository, you need to clone it to your machine. Open your terminal and run the following command:
git clone <URL-of-your-forked-repository>
Before running the code examples, make sure to install the required libraries. You can do this by navigating to the cloned repository in your terminal and running the following command:
pip install -r requirements.txt