Mnist bn
Using slim to perform batch normalization
Run `python mnist_bn.py --phase=train` to train. Run `python mnist_bn.py --phase=test` to test. The project is written primarily in Python, first published in 2017. Key topics include: batch-normalization, slim, tensorflow.
mnist-bn
Using slim to perform batch normalization
Run python mnist_bn.py --phase=train to train.
Run python mnist_bn.py --phase=test to test.
It should achieve an accuracy of ~99.3% or higher on test set.
I've added accuracy, cross_entropy and batch normalization paramters into summary. Use tensorboard --logdir=/log to explore the learning curve and parameter distributions!
Contributors
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