Deep Learning Repository

Welcome to my Deep Learning repository! This repository contains my journey and projects in learning deep learning and computer vision using Keras, TensorFlow, and Convolutional Neural Networks (CNN).

Contents

• Introduction
• Setup
• Projects
• Resources

Introduction

In this repository, I explore various aspects of deep learning and computer vision. I use Keras and TensorFlow to build and train models, with a focus on Convolutional Neural Networks (CNNs) for image recognition tasks. The repository is organized to help others follow along and understand the key concepts and techniques involved in these fields.

Setup

To get started, clone the repository and install the necessary dependencies:

git clone https://github.com/yourusername/deep-learning.git
cd deep-learning
pip install -r requirements.txt

Ensure you have Python and pip installed on your machine. The requirements.txt file contains all the libraries you'll need, including Keras and TensorFlow.

Projects

Here are some of the key projects included in this repository:

• Project 1: Image Classification with CNN
• Project 2: Object Detection with YOLO
• Project 3: Image Segmentation with U-Net

Resources

Below are some helpful resources that I've used to learn deep learning and computer vision:

• Keras Documentation
• TensorFlow Documentation
• CS231n: Convolutional Neural Networks for Visual Recognition

Feel free to explore the projects and resources. If you have any questions or suggestions, please open an issue or submit a pull request. Happy learning!