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Charlotte's Handwritten Digit Recognizer: Image classification powered by a neural network implemented with Keras and TensorFlow.js

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Charlotte's Handwritten Digit Recognizer

Image classification powered by a neural network implemented with Keras and TensorFlow.js

Try it out yourself at https://anna-charlotte.github.io/digit_recognizer/frontend/index.html

frontend/images/webapp_screenshot.png

Usage

Train model:

  1. Clone repository: git clone https://github.com/anna-charlotte/digit_recognizer.git
  2. Install requirements: poetry install
  3. Activate virtual environment: poetry shell
  4. Create the data directory: mkdir data
  5. Download the data from https://www.kaggle.com/datasets/oddrationale/mnist-in-csv?resource=download and save it to the data directory.
  6. Create additional training data: python src/create_new_data.py
  7. Train model: python src/digit_recognizer.py

About

Charlotte's Handwritten Digit Recognizer: Image classification powered by a neural network implemented with Keras and TensorFlow.js

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