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haeusser / learning_by_association

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
https://vision.in.tum.de/members/haeusser
Apache License 2.0
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Problem: reproduce the result, SVHN to MNIST. #4

Closed lavonne1213 closed 7 years ago

lavonne1213 commented 7 years ago

Hello, I was trying to reproduce the result on the paper too, SVHN to MNIST. First I download your code, chaning code 'target_dataset', None into "target_dataset', 'mnist3' in train.py, then run train.py, after 100000 traning steps finished, I run the eval.py, but I can't get the Accuracy value. Please see details of result in attachment.

result.txt

haeusser commented 7 years ago

Hi @lavonne1213 ,

you did everything correctly. The evaluation loop logs the results to the logdir. The idea is to use TensorBoard to monitor the training progress.

Cheers, Philip

4Statistics commented 6 years ago

When I use TensorBoard,where to find the acuracy value?what's its title or name?Thank you . The title of the first graph is "Learning rate",where is the accuracy?.Thank you .

4Statistics commented 6 years ago

Very sorry to be annoying! But I really don't know how to run your code normally.