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Numbers dataset to training process in pytorch

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Reference no: EM133309591

Complete the adversarial project as described in class:

1. Write code to implement a ML baseline for image classification similar to the ML pipeline for CIFAR10 using Pytorch for Street View House Numbers dataset.

2. Measure performance metrics (e.g. F measure, precision, recall, etc.) in Pytorch.

3. Design an experiment where you add adversarial images of Street View House Numbers Dataset to the training process in Pytorch.

4. Measure how many adversarial images (percentage) are needed to drop performance significantly in Pytorch.

Reference no: EM133309591

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