mahdifirouz2002/deeplearningunicourse

This repository contains materials and code for the neural network course offered at [Your University Name]. It includes lecture notes, assignments, and implementation of various neural network models using Python.

Neural Network Course Repository

Welcome to the Neural Network Course Repository for Beheshti university!

About

This repository hosts all the resources related to the neural network course offered at Beheshti university. Whether you're a student currently enrolled in the course or someone interested in deep learning, you'll find valuable materials here.

Contents

• Lecture Notes: Detailed notes covering various topics in neural networks and deep learning.
• Assignments: Practical exercises to reinforce your understanding of the concepts discussed in class.
• Code: Implementation of neural network models using Python and TensorFlow/Keras.
• Datasets: Datasets used for training and evaluation of neural networks in the course.

How to Use

Feel free to explore the repository and utilize the resources according to your needs:

• Clone the repository to your local machine using git clone.
• Refer to the lecture notes for theoretical understanding.
• Complete the assignments to practice your coding skills.
• Explore the code to see implementations of different neural network architectures.
• Experiment with different datasets to see how neural networks perform on different tasks.

Contributing

If you're a student or instructor of the course and would like to contribute to this repository, you're more than welcome! Whether it's fixing typos in the lecture notes or adding new assignments, your contributions are highly appreciated. Simply fork the repository, make your changes, and create a pull request.

Contact

If you have any questions or suggestions regarding the course materials or this repository, feel free to contact us at [email protected].

Happy learning!