MNIST Master
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Description:
MNIST Master is a dedicated application for training and testing models on the MNIST dataset. It focuses on digit recognition and serves as a foundation for machine learning projects.
Features:
- Preconfigured environment for working with the MNIST dataset.
- Model architecture options such as CNNs or fully connected networks.
- Visualizations of training accuracy and loss metrics.
Requirements:
- Python 3.8+ and TensorFlow or PyTorch installed.
- GPU-enabled system for faster training.
- Matplotlib for plotting results.
Instructions:
- Install dependencies using
pip install tensorflow matplotlib. - Load the MNIST dataset and preprocess it for model input.
- Define, train, and evaluate the model architecture.
- Use the trained model for real-world digit recognition tasks.
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
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