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ChaitanyaC22 / Multi-Input-Multi-Output-MNIST-Image-Digit-and-Summed-Output-Classification

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The goal of this project is to build a neural network that takes an MNIST handwritten digit (0-9) image and a random number (digit 0-9) as inputs and returns the predicted class label (0-9) for the input image and its addition (sum) with the input random number as summed output (range 0-18) label as outputs.

deep-neural-networks tensorflow exploratory-data-analysis keras image-processing data-visualization python3 mnist-classification model-evaluation model-building multi-inputs cnn-classification functional-api image-data-generator multi-outputs
  • Updated Oct 18, 2022
  • Jupyter Notebook

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