# Introduction To PyTorch

Notebooks are based on previous iterations of the [HSE DLA Course](https://github.com/markovka17/dla/tree/2023) and [LauzHack Deep Learning Bootcamp](https://github.com/LauzHack/deep-learning-bootcamp).

- [Seminar 1](./Seminar_1_PyTorch_Basics.ipynb): Basics of `PyTorch`, tensor creation and operations, datasets, and function optimization.
- [Seminar 2](./Seminar_2_Models_and_Pipeline.ipynb): Models in `PyTorch`, training and evaluation pipeline.

The recordings (in **English**) from [LauzHack Deep Learning Bootcamp](https://github.com/LauzHack/deep-learning-bootcamp):

- [Recording on YouTube (in English), Seminar 1](https://youtu.be/qtY6RTqKOsE)
- [Recording on YouTube (in English), Seminar 2](https://youtu.be/3EDUGwWxZFw)
