The objective of this project is to test different architectures to compare two digits visible in a two-channel image. In particular, it aims at showing the impact of weight sharing, and of the use of an auxiliary loss to help the training of the main objective.
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Test different Neural Network architectures to compare two digits visible in a two-channel image. In particular, show the impact of weight sharing and of the use of an auxiliary loss in the training.
adriguerra/DL-MiniProject1
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Test different Neural Network architectures to compare two digits visible in a two-channel image. In particular, show the impact of weight sharing and of the use of an auxiliary loss in the training.
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