DSBA_T2-CS-Advanced_Deep_Learning

This repository contains code, assignments, and projects completed during the course "Advanced Deep Learning" in the 2nd trimester of the Data Science and Business Analytics program at CentraleSupélec and ESSEC Business School.

Course Description

This course focuses on advanced topics in deep learning, including deep neural network architectures, convolutional neural networks, recurrent neural networks, and generative models. Students will learn to design and implement deep learning models for various applications, such as computer vision, natural language processing, and speech recognition.

Table of Contents

The repository contains the following folders and files:

1. Assignments: This folder contains weekly assignments given by the instructor to assess the students' understanding of the concepts covered in the lectures.
2. README.md: This file contains information about the repository and how to use it.

Requirements

To run the code in this repository, you will need to have the following software installed on your system:

1. Python 3.6 or higher
2. TensorFlow 2.0 or higher
3. PyTorch 1.0 or higher
4. NumPy, Pandas, Matplotlib, and other commonly used data science libraries

Contributors

This repository is maintained by Arindam Roy (@ArindamRoy23) and Anmol Katiyar (@Jupiter345), students in the Data Science and Business Analytics program at CentraleSupélec and ESSEC Business School. If you find any errors or have suggestions for improving the code, feel free to create a pull request or contact the author directly.