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SBU Deep Learning Course Materials and Codes

Deep-Learning 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Deep Learning

## Introduction

This is the repository of the materials taught in Deep Learning course at Shahid Beheshti University. In this course, the graduate students will be acquainted with the fundamental concepts of deep learning in general, and it's applications in particular.

## Course Instructor:

Dr. Hamed Malek

## Current TAs:

* [Mohammad Hashemi](https://github.com/mohammadhashemii)
* [Tara Gheshlaghi](https://github.com/GhTara)
* [Naghme Farzi](https://github.com/naghmefarzi)
* [Sahar Farazi](https://github.com/Sahari-96)
* [Zohreh Yousefzade](https://github.com/ZohrehYousefzadeh)
* [M Ramezani](https://github.com/M.Ramezani)

## Links

Telegram Channel: https://t.me/SBU_DL_Spring2022

## Programming labs videos and codes

| Content | Video link | Inspired By |
| ------------- | ------------- | ------------- |
| [Python Review](https://github.com/SBU-CE/Deep-Learning/tree/main/spring-2022/labs/1_python-review)  | [Link](https://drive.google.com/file/d/1h87oBUv2sOU6I4qMnUHUXtkjUVgQKEx3/view)  | - |
| [Numpy, Pandas & Scikit-learn Tutorial](https://github.com/SBU-CE/Deep-Learning/tree/main/spring-2022/labs/2_numpy-pandas-sklearn-tutorial)  | [Link](https://drive.google.com/drive/folders/1HGsUFW5ekZPAaiQVVJUH2H1rRnni9QTj?usp=sharing)  | [Introduction to Data Science in Python *(Coursera)*](https://www.coursera.org/learn/python-data-analysis)|
| [PyTorch Tutorial](https://github.com/SBU-CE/Deep-Learning/tree/main/spring-2022/labs/3_pytorch-tutorial) | [Link](https://t.me/SBU_DL_Spring2022_chat/104) | [PyTorch Tutorial for Deep Learning Researchers](https://github.com/yunjey/pytorch-tutorial) |
| [Convolution Neural Networks](https://github.com/SBU-CE/Deep-Learning/tree/main/spring-2022/labs/4_cnn) | [Link](https://t.me/SBU_DL_Spring2022_chat/240) | [PyTorch Tutorial for Deep Learning Researchers](https://github.com/yunjey/pytorch-tutorial)
| [Recurrent Neural Networks](https://github.com/SBU-CE/Deep-Learning/tree/main/spring-2022/labs/5_rnn) | [Link](https://drive.google.com/drive/folders/1xZSEPdTqsMUfsGihAR7cz7LDgS33QtmM?usp=sharing) | [Udacity's Deep Learning v7 Nanodegree program](https://github.com/udacity/deep-learning-v2-pytorch)
| An introduction to BERT | [Link](https://drive.google.com/file/d/1zilADDzWHxjmrkt3jRXAjOiw3w9SRWnE/view?usp=sharing) | - |

Deep-Learning

Deep-Learning 최신버젼 다운로드

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Deep-Learning 최신버젼 다운로드

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