Welcome to my Deep Learning journey!
This repository contains various concept explorations, small projects, and experiments as I learn and implement different deep learning, machine learning, and AI concepts.
- TensorFlow/ — Practice notebooks and experiments using TensorFlow and Keras.
- PyTorch/ — Hands-on with PyTorch for deep learning model building and training.
- OpenCV/ — Image processing and computer vision-based projects.
- NLP/ — Natural Language Processing notebooks (text preprocessing, embeddings, emotion detection, etc.).
- Fundamentals of Deep Learning
- Neural Networks (FNN, CNN, etc.)
- Image Classification
- NLP Basics and Text Classification
- OpenCV and Image Preprocessing
- TensorFlow & PyTorch Model Training
- Data Handling and Model Evaluation
- Add CNN and RNN practice notebooks
- Implement transfer learning projects
- Explore GANs and Autoencoders
- Deploy small models using FastAPI / Streamlit
- Create documentation for each subfolder
This repo is a personal learning lab — where I explore, experiment, and build upon deep learning concepts.
All code and notebooks are for educational and self-practice purposes.
- Languages: Python
- Frameworks: TensorFlow, PyTorch, OpenCV, scikit-learn
- Tools: Jupyter Notebook
If you find anything interesting or want to collaborate, feel free to reach out or star ⭐ the repo!
Keep Learning • Keep Building ⚡