Comments (3)
I Added feature for supporting NCHW. [Support NCHW]
Please check if it helps you.
Thank you.
from tensorflow-densenet.
This is perfect thank you! Out of interest I compared to training time of Keras(TF) model and this TF-one was 17min10s and Keras was 18min30s for 5 epochs on 4xP100s (with synthetic data).
I just also wanted to test if passing fused=True
to batchnorm would speed up performance
from tensorflow-densenet.
As I know, if possible, slim use "fused batchnorm" by default.
If fused parameter is passed as None, slim implementation set it to True. slim batch_norm
from tensorflow-densenet.
Related Issues (20)
- Model for transfer-learning HOT 2
- is_training=True HOT 3
- NotFoundError HOT 1
- training issues HOT 1
- About training from scratch.
- Cant run/train on mnist data
- How to evaluate? HOT 1
- How to get more predict info? HOT 1
- Some details about the pre-trained model
- Dropout rate
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- how to set the usage of gpu
- usage link failed
- does pre-trained densenet121 lack some parameters? HOT 1
- Preprocess Image
- citation DOI request
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from tensorflow-densenet.