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mnist's Introduction

MNIST

Classification of hand written digits using a simple neural network and a shallow convolutional neural network for result comparison using TensorFlow 2 and Keras.

Tools

  1. Visual Studio Code
  2. Python 3.8
  3. TensorFlow 2.x (Keras is built-in)
  4. Matplotlib
  5. Jupyter Notebook

Results (10 epochs)

Model Training Accuracy Validation Accuracy Training Loss Validation Loss
Artificial Neural Network 98.52% 98.00% 0.0445 0.0706
Convolutional Neural Network 99.65% 98.78% 0.0104 0.0470

For better visualizations please look at the code

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