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python code, notebooks and Images used for AI502 Midterm Project.

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AI502_Midterm_Project

python code, notebooks and Images used for AI502 Midterm Project.

Images

Images from original papers are didn't uploaded here, only images from me are uploaded.

Figure 2: Comparison of test loss and train accuracy for Batch size increasing and Learning rate decaying.

Figure 4: Comparison of Adam, RAdam and SGD for MNIST classifier

References

Codes without specification on this References tab are coded by me.

  1. MobileNetV2: Inverted residuals and linear bottlenecks
    ResNet : https://pytorch.org/docs/stable/torchvision/models.html
    MobileNetV2 : https://github.com/pytorch/vision/tree/master/torchvision/models

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