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

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.

Primary LanguageJupyter Notebook

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