In The Name Of GOD

Artificial Neural Networks and Computational Intelligence - Amirkabir University of Technology

Welcome to the repository for Artificial Neural Networks and Computational Intelligence course at AUT. This course provides an in-depth overview of Artificial Neural Networks and its applications in Computational Intelligence.

Course Outline

• Introduction to Artificial Neural Networks
• Neural Network Architecture
• Backpropagation Algorithm
• Convolutional Neural Networks
• Recurrent Neural Networks
• Applications of Artificial Neural Networks in Computational Intelligence

Prerequisites

• Basic understanding of linear algebra and calculus
• Knowledge of Python programming language
• Familiarity with machine learning concepts

Requirements

• A computer with a recent version of Python and Jupyter Notebook installed
• A copy of the course materials, available in this repository

Getting Started

1. Clone this repository to your local machine using the following command:

git clone https://github.com/FarshidNooshi/ArtificialNeuralNetworks-ComputationalIntelligence-AUT.git

2. Navigate to the repository directory:

cd ArtificialNeuralNetworks-ComputationalIntelligence-AUT

3. Open Jupyter Notebook and start exploring the course materials.

Contribution

If you find any errors or have suggestions for improvements, please feel free to create an issue or pull request. Your contributions are greatly appreciated!

License

This course material is made available under the MIT License.