Update README.md

README.md

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-## SET 1 - MAKEMORE (PART 3) 🔗
-
-[![Documentation](https://img.shields.io/badge/Documentation-Available-blue)](https://muzzammilshah.github.io/Road-to-GPT/Makemore-part3/)
-![Number of Commits](https://img.shields.io/github/commit-activity/m/MuzzammilShah/NeuralNetworks-LanguageModels-3?label=Commits)
-[![Last Commit](https://img.shields.io/github/last-commit/MuzzammilShah/NeuralNetworks-LanguageModels-3.svg?style=flat)](https://github.com/MuzzammilShah/NeuralNetworks-LanguageModels-3/commits/main)  
-![Project Status](https://img.shields.io/badge/Status-Done-success)
-
- 
-
-### **Overview**
-In this repository, I implemented **Batch Normalization** within a neural network framework to enhance training stability and performance, following Andrej Karpathy's approach in the **Makemore - Part 3** video.
-
-This implementation focuses on **normalizing activations and gradients, addressing initialization issues, and utilizing Kaiming initialization to prevent saturation of activation functions**. Additionally, **visualization graphs** were created at the end to analyze the effects of these techniques on the training process and model performance.
-
- 
-
-### **🗂️Repository Structure**
-
-```plaintext
-├── .gitignore
-├── A-Main-Notebook.ipynb
-├── StarterCode.ipynb
-├── VisualizationTools.ipynb
-├── README.md
-├── notes/
-│   ├── A-main-makemore-part3.md
-│   └── README.md
-└── names.txt
-```
-
-- **Notes Directory**: Contains detailed notes corresponding to each notebook section.
-- **Jupyter Notebooks**: Step-by-step implementation and exploration of the concepts.
-- **README.md**: Overview and guide for this repository.
-- **names.txt**: Supplementary data file used in training the model.
-
- 
-
-### **📄Instructions**
-
-To get the best understanding:
-
-1. Start by reading the notes in the `notes/` directory. Each section corresponds to a notebook for step-by-step explanations.
-2. Open the corresponding Jupyter Notebook (e.g., `A-Main-Notebook.ipynb` for `A-main-makemore-part3.md`).
-3. Follow the code and comments for a deeper dive into the implementation details.
-
- 
-
-### **⭐Documentation**
-
-For a better reading experience and detailed notes, visit my **[Road to GPT Documentation Site](https://muzzammilshah.github.io/Road-to-GPT/)**. 
-
-> **💡Pro Tip**: This site provides an interactive and visually rich explanation of the notes and code. It is highly recommended you view this project from there.
-
- 
-
-### **✍🏻Acknowledgments**
-Notes and implementations inspired by the **Makemore - Part 3** video by [Andrej Karpathy](https://karpathy.ai/).  
-
+---
+license: mit
+datasets:
+- MuzzammilShah/people-names
+language:
+- en
+model_name: Batch Normalization for Neural Networks
+library_name: pytorch
+tags:
+- makemore
+- batch-normalization
+- neural-networks
+- andrej-karpathy
+---
+
+# Batch Normalization for Neural Networks: Makemore (Part 3)
+
+In this repository, I implemented **Batch Normalization** within a neural network framework to enhance training stability and performance, following Andrej Karpathy's approach in the **Makemore - Part 3** video.
+
+## Overview
+This implementation focuses on:
+- **Normalizing activations and gradients**.
+- Addressing initialization issues.
+- Utilizing Kaiming initialization to prevent saturation of activation functions.
+
+Additionally, **visualization graphs** were created at the end to analyze the effects of these techniques on the training process and model performance.
+
+## Documentation
+For a better reading experience and detailed notes, visit my **[Road to GPT Documentation Site](https://muzzammilshah.github.io/Road-to-GPT/Makemore-part3/)**.
+
+## Acknowledgments
+Notes and implementations inspired by the **Makemore - Part 3** video by [Andrej Karpathy](https://karpathy.ai/).
+
 For more of my projects, visit my [Portfolio Site](https://muhammedshah.com).