Neural Networks Learning Repository

Welcome to my neural networks learning repository! This is where I document my journey in understanding and implementing neural networks, from foundational concepts to advanced architectures.

📂 Contents

1. Introduction to Neural Networks: Basic concepts and simple implementations.
2. Mathematics of Neural Networks: Detailed explanations and visualizations.
3. Deep Learning Architectures: Code and notes on popular architectures like CNNs and RNNs.
4. Practical Projects: Hands-on projects using neural networks.
5. Experimentation and Analysis: Notebooks on hyperparameter tuning and model evaluation.
6. Research Papers: Summaries and implementations of key papers.
7. Resources: Links to useful materials and datasets.

💻 How to Use

1. Clone the repository:

   git clone https://github.com/RohanHarichandan/UnderstandingNN.git