/Deep-Learning-Projects

A collection of deep learning projects implemented in Python, focusing on neural networks, computer vision, and NLP using frameworks like TensorFlow and PyTorch. Includes practical examples, datasets, and tutorials for building and evaluating advanced machine learning models.

Primary LanguageJupyter NotebookMIT LicenseMIT

🧠 Deep Learning Projects

Welcome to the Deep Learning Projects repository! 🚀🔬 This repository contains various deep learning projects, covering areas such as computer vision, natural language processing, and generative models. Each project showcases different neural network architectures and deep learning techniques. 💡

📌 List of Projects

  1. Breast Cancer Classification with NN 🏥
  2. MNIST Digit Classification using NN 🔢
  3. Dog vs Cat Classification (Transfer Learning) 🐶🐱
  4. CIFAR-10 Object Recognition using ResNet50 🖼️
  5. Face Mask Detection using CNN 😷
  6. Fashion MNIST End-to-End Project 👗
  7. Plant Disease Prediction using CNN 🌱
  8. Neural Network using PyTorch for Breast Cancer Prediction 🏥
  9. Generate Handwritten Digit Images using DCGAN ✍️
  10. IMDB Reviews Sentiment Analysis using LSTM 🎬

🚀 How to Use

Each project folder contains:

  • Dataset (if available or sourced)
  • Code (Jupyter Notebook or Python Scripts)

🤝 Contributing

We welcome contributions! Feel free to improve existing projects, fix issues, or add new deep learning implementations. Submit a pull request and let's grow this collection together! 🚀

🌟 If you find this repository valuable, don't forget to star ⭐ it! Happy Coding! 🔥