Adaptive Transfer Learning — 2 | Python | Machine Learning (ML) | Pytorch | Deep Learning

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I would like to extend my pytorch classification code, to have ability to adapts the model weights pre-trained on

source data. The objective is to have an adaptive transfer learning (ATL)

My code: The models.inception_v3 is pre-trained with MNIST and the target dataset is SVHN.

I will share my code that you are supposed to extend (Its easy to follow and short).

Skills: Python, Machine Learning (ML), Pytorch, Deep Learning

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