https://github.com/szymon-budziak/neural_networks_and_deep_learning_course_agh
Solutions from Neural Networks and Deep Learning course at AGH UST. If you use it and it helped you please leave a star ⭐
https://github.com/szymon-budziak/neural_networks_and_deep_learning_course_agh
Last synced: about 2 months ago
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Solutions from Neural Networks and Deep Learning course at AGH UST. If you use it and it helped you please leave a star ⭐
- Host: GitHub
- URL: https://github.com/szymon-budziak/neural_networks_and_deep_learning_course_agh
- Owner: Szymon-Budziak
- License: mit
- Created: 2024-02-27T18:09:38.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-07-30T16:12:59.000Z (9 months ago)
- Last Synced: 2025-02-01T02:51:43.499Z (3 months ago)
- Language: Jupyter Notebook
- Size: 26.7 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Neural Networks and Deep Learning course at AGH
Solutions from Neural Networks and Deep Learning course at AGH. The course was focused on the theoretical, practical and
mathematical aspects of neural networks and deep learning.
## Installation
The project uses Poetry to manage dependencies. To install the dependencies, run the following command:
```bash
poetry install
```
## Table of contents
- [Lab 1](src/nn_and_dl/Lab_1/lab1.ipynb)
- [Lab 2](src/nn_and_dl/Lab_2/lab2.ipynb)
- [Lab 3](src/nn_and_dl/Lab_3/lab3.ipynb)
- [Lab 4](src/nn_and_dl/Lab_4/lab4.ipynb)
- [Lab 5](src/nn_and_dl/Lab_5/lab5.ipynb)
- [Lab 6](src/nn_and_dl/Lab_6/lab6.ipynb)
- [Lab 7](src/nn_and_dl/Lab_7/lab7.ipynb)
- [Lab 8](src/nn_and_dl/Lab_8/lab8.ipynb)
- [Lab 9](src/nn_and_dl/Lab_9/lab9.ipynb)
- [Lab 10](src/nn_and_dl/Lab_10/lab10.ipynb)
- [Lab 11](src/nn_and_dl/Lab_11/lab11.ipynb)
- [Lab 12](src/nn_and_dl/Lab_12/lab12.ipynb)
- [Lab 13](src/nn_and_dl/Lab_13/lab13.ipynb)
- Lab 14:
- [TensorFlow](src/nn_and_dl/Lab_14/zad_tf_nnets_1.ipynb)
- [PyTorch](src/nn_and_dl/Lab_14/zad_torch_nnets_1.ipynb)
## License
If you use this repository/code for classes or for something else, please leave a star ⭐. It will let me know that my
work is important and useful to someone.