Update README.md

Author: RahulAloth

README.md

@@ -1,47 +1,56 @@
+
 # 📚 Project Index
 
-This project introduces **parallel computing basics** using **HPC (High-Performance Computing)** concepts, explores **NVIDIA HPC hardware for deep learning applications**, and more.
+This repository covers:
+
+- **Parallel Computing Basics** using HPC concepts
+- **NVIDIA HPC hardware** for deep learning applications
+- **ISO C++ Parallelism** and GPU acceleration
+- **Deep Learning theory and practical examples**
 
 ---
 
 ## ✅ How to Run C++ Code
 
-To run the C++ examples, follow these steps to set up **Visual Studio Code** in a Linux environment.
+To run the C++ examples, set up **Visual Studio Code** in a Linux environment.
 
 ---
 
 ## **Module 1: HPC & Parallelism**
 
-This module covers:
+This module includes:
 
 - ✅ Portable HPC applications using **ISO C++**
 - ✅ GPU acceleration using the **C++ Standard Library**
 - ✅ Fundamentals of **ISO C++ parallelism**
 
----
-
-### **Setup VS Code for C++**
+### Key Files:
+- introduction.md
+- [ISO_CPP_Algorithms_HPC_Documentation.md](./ISO_CPP_Algorithms_CPP.md](./Parallel_Algorithms_CPP.mding.md](./VIDIA_Grace_Hopper_Coherent_HW.md](./NVIDIA_Grace_Hopperning_excrcise.md
 
-Sample project for building and debugging C++ in **Visual Studio Code** on macOS/Linux.
+### C++ Exercises:
+- [main.cpp](./maincises.cpp](./excercises1.cpp- [excercises_2.cpp](./xcercises_3.cpp](./xtra_excercise1.cpp
 
-1. **Main tutorial:** [VS Code C++ Guide](https://code.visualextensions:**
-   - C/C++
-   - [CodeLLDB](https://marketplace.visualstudio.com/items?itemName=vadims module includes:
-
-1. **Deep Learning Basics:**  
-   Refer → `deepLearningIntroduction.md`
-
-2. **Neural Network Architecture:**  
-   Refer → `neurel_network_architecture.md`
+---
 
-3. **Training a Neural Network:**  
-   Refer → `training_a_neural_network.md`
+### **Setup VS Code for C++**
+1. **Main tutorial:** [VS Code C++ Guide](https://code.visualstudioions:**
+   - [C/C++](https://marketplace# **Module 2: Deep Learning (Theory & Practice)**
 
-4. **Deep Learning with Structured Numeric Data (Example 1):**  
-   File → `wine_preprocessing_example.py`
+This module includes:
 
-5. **Deep Learning with Unstructured Text Data (Example 2):**  
-   File → `classify_news_article.py`
+### Theory:
+- [deepLearningIntroductionmd
+- [neurel_network_architecture.md](./neurel_network_architecture](./ Practical Examples:
+- [wine_preprocessing_examplepy  
+  *(Structured numeric data example; uses [winecsv)*
+- [classify_news_article.py](./classifyctured text data example)*
 
 ---
 
+## ✅ Suggested Next Steps
+- Add **Quick Start for Python**:
+  ```bash
+  pip install torch pandas scikit-learn
+  python wine_preprocessing_example.py
+  python classify_news_article.py