{"id":25802330,"url":"https://github.com/satyamtripathi8/handwritten_digit_classifier","last_synced_at":"2025-02-27T16:58:03.329Z","repository":{"id":200820073,"uuid":"706305025","full_name":"satyamtripathi8/Handwritten_Digit_Classifier","owner":"satyamtripathi8","description":"Explore this repository for a CNN-based handwritten digit classification project. 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The CNN architecture is built using TensorFlow/Keras and achieves accurate digit recognition through a series of convolutional and pooling layers.\n\n## Features\n\n- **Data Loading:** Utilizes Pandas to load handwritten digit data from CSV files.\n- **Data Preprocessing:** Reshapes and normalizes the data, preparing it for CNN input.\n- **Convolutional Neural Network (CNN):** Implements a CNN model using TensorFlow/Keras layers.\n- **Model Training:** Trains the CNN model on the MNIST dataset for handwritten digit recognition.\n- **Model Evaluation:** Evaluates the trained model's accuracy on a validation dataset.\n- **Prediction:** Provides a function to make predictions on new handwritten digit images.\n\n## Requirements\n\n- Python 3.x\n- Pandas\n- TensorFlow/Keras\n- scikit-learn\n\n## Project Structure\n\n- **`main.py`**: Main Python file containing the code for data loading, preprocessing, model creation, training, evaluation, and prediction.\n- **`data/`**: Directory containing the CSV files with the training and testing data.\n- **`models/`**: Directory to store saved trained models.\n\n\n## Acknowledgements\n\n- **MNIST Dataset:** The MNIST dataset used in this project is publicly available and widely used for handwritten digit recognition tasks. More information can be found [here](http://yann.lecun.com/exdb/mnist/).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsatyamtripathi8%2Fhandwritten_digit_classifier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsatyamtripathi8%2Fhandwritten_digit_classifier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsatyamtripathi8%2Fhandwritten_digit_classifier/lists"}