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how to train on new data and how to use on GPU environments?
i am beginner of deep learning and i know the previous issue solution about which is how to train on your blog but i have a question that your explanation of auxilary network is not clear. Is auxilary network concatenated by main network? or independtly? so i want to know how to train main architecture and auxilary network clearly and i have one more question that how to use on GPU environments when inference step?
"and i have one more question that how to use on GPU environments when inference step?" just install tensorflow-gpu instead tensorflow, it will run automatically on GPU