Welcome to the Neural Network Course Repository for Beheshti university!
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.
- 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.
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.
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.
If you have any questions or suggestions regarding the course materials or this repository, feel free to contact us at mr.firouz.mahdi@gmail.com.
Happy learning!