This repository contains my complete deep learning learning journey, practice implementations, experiments, and mini-projects built while learning Deep Learning, Neural Networks, Computer Vision, and AI concepts.
The main goal of this repository is to:
- Build strong practical understanding of Deep Learning
- Implement neural networks from scratch
- Learn industry-level frameworks
- Practice model training and evaluation
- Create real-world AI projects
- Python
- NumPy
- Pandas
- Matplotlib
- Scikit-learn
- TensorFlow
- Keras
- PyTorch
- OpenCV
- Jupyter Notebook
- Google Colab
- Git
- GitHub