{"id":29182667,"url":"https://github.com/akshint0407/ann-lab","last_synced_at":"2026-05-17T11:32:35.022Z","repository":{"id":287747513,"uuid":"965228705","full_name":"Akshint0407/ANN-Lab","owner":"Akshint0407","description":"Made this file to take the futures Engineer's a load off their shoulders😉. Feel free to use these and acknowledge me in the process. 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The goal is to provide a structured and beginner-friendly reference for students looking to understand and implement foundational ANN concepts using Python and relevant libraries.\n\n## About the Repository\n\nEach experiment folder contains:\n- Source code (with comments)\n- Sample output screenshots (if available)\n- Brief explanations and instructions to run the code\n\nThe experiments cover a variety of ANN topics including perceptrons, backpropagation, activation functions, and practical model training using datasets.\n\n---\n\n## List of Experiments\n\n1. **Perceptron Algorithm Implementation**\n2. **Backpropagation Algorithm**\n3. **McCulloch-Pitts Neuron Model**\n4. **AND, OR, XOR Gate using Neural Networks**\n5. **Activation Functions (Sigmoid, Tanh, ReLU)**\n6. **Gradient Descent Implementation**\n7. **Feedforward Neural Network**\n8. **ANN for Classification (Iris Dataset)**\n9. **ANN for Regression (Custom Dataset)**\n10. **MNIST Digit Recognition using ANN**\n\n---\n\n## How to Use\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/Akshint0407/ANN-Lab-Experiments.git\n\n2. Make sure Jupyter Notebook is installed. If not, install it using:\n\n```bash\npip install notebook\n```\n\n3. Launch Jupyter Notebook:\n```bash\n\njupyter notebook\n```\n\n4. Navigate to the experiment folder and open the .ipynb file of your choice.\n\nEnsure required libraries like NumPy, Pandas, Matplotlib, Scikit-learn, and TensorFlow/Keras are installed in your environment.\n\n## Target Audience\n- 3rd Year AIDS Students\n\n- Beginners in Neural Networks\n\n- Anyone exploring foundational AI/ML concepts\n\n## Contributions\nIf you have improvements, bug fixes, or additional experiment ideas, feel free to fork this repo and raise a pull request!\n\n## License\nThis project is licensed under the [MIT License](License).\n\n## Connect with Me\nAkshint\n[Linkedin](linkedin.com/in/Akshint-Varma)• [GitHub](github.com/Akshint0407)\n\n***Feel free to share with your classmates and juniors. Happy Learning!***\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakshint0407%2Fann-lab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakshint0407%2Fann-lab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakshint0407%2Fann-lab/lists"}