Deep Learning Notebook

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This is a curated collection of notes, implementations, and experiments covering fundamental to advanced deep learning concepts, implemented in PyTorch and TensorFlow. Whether you're learning or building, hope you find this useful!

⭐ Star this repo if you found it helpful! Happy deep learning! 🚀

Core Topics 📜

✔ Neural Networks (MLPs, CNNs, RNNs, Transformers)

✔ Optimization & Training (SGD, Adam, LR Scheduling, Regularization)

Comming soon :

❎ Generative Models (GANs, VAEs, Diffusion Models)

❎ NLP & Computer Vision (BERT, ResNet, YOLO, GPT-like models)

🔧 Setup

Clone the repo:

git clone https://github.com/shubhamp1028/DeepLearning.git
cd DeepLearning

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Contribution & Support

Found a bug? Open an Issue.

Want to add something? Submit a Pull Request!

Need help? Reach out at [email protected].

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