🧠 Deep Learning Collection v1.0.0

🎉 Initial Release

DeepLearning is a comprehensive collection of deep learning implementations and experiments covering various architectures and techniques.

✨ Highlights

• 🔬 Neural Network Architectures: CNNs, RNNs, Transformers implementations
• 📊 Computer Vision: Image classification, object detection experiments
• 📝 NLP Models: Text processing and language model implementations
• 🎯 Training Pipelines: Complete training workflows with PyTorch/TensorFlow

📚 Contents

• Jupyter notebooks with detailed explanations
• Model implementations from scratch
• Pre-trained model examples
• Performance benchmarks

🚀 Getting Started

git clone https://github.com/aimanyounises1/DeepLearning.git
cd DeepLearning
pip install -r requirements.txt