In the readme of " Deep Network Comparison.ipynb"
With little parameter tuning I was able to get them to perform above 90% accuracy on a test set after only an hour or so.
The train phase had been pass 12 hours ,however the test set accuracy is so low.
Step: 400 Loss: 1.75564 Accuracy: 0.234375
Test set accuracy: 0.252
My environment:
hardware: i7 cpu, 980ti nvidia card , 24G
software: cuda7.5 ,tensorflow 1.1, python 3, cudnn5.0
In the readme of " Deep Network Comparison.ipynb"
With little parameter tuning I was able to get them to perform above 90% accuracy on a test set after only an hour or so.
The train phase had been pass 12 hours ,however the test set accuracy is so low.
Step: 400 Loss: 1.75564 Accuracy: 0.234375
Test set accuracy: 0.252
My environment:
hardware: i7 cpu, 980ti nvidia card , 24G
software: cuda7.5 ,tensorflow 1.1, python 3, cudnn5.0