Chinese MNIST Character Recognition Model

This is a Multi-Layer Perceptron (MLP) model trained for recognizing handwritten Chinese characters from the Chinese MNIST dataset.

Details

  • Dataset: Chinese MNIST
  • Model Type: MLP (Multi-Layer Perceptron)
  • Framework: TensorFlow/Keras
  • Accuracy: 100.00%
Downloads last month

-

Downloads are not tracked for this model. How to track
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support