Comments (2)
Yes, it looks normal. You can try decrease the depth of convolutional layers which can significantly increase training speed but I am not sure how much the quality of generated images will change.
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Yes, it looks normal. You can try decrease the depth of convolutional layers which can significantly increase training speed but I am not sure how much the quality of generated images will change.
thanks for your reply.I will try the decrease in the later experiments
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Related Issues (20)
- Subset of the augmented sketchy database HOT 9
- error ocicured while implementing HOT 5
- Can you upload a trained model HOT 5
- tensor data_format HOT 12
- tensor data_format centos HOT 2
- flickr_crawler_error HOT 2
- what is number class in flickr_crawler.py? 2 or 50?
- "Inception-V4 model" is pretrain_model or welltrained_model?
- how to test it?
- dataset
- pre-trained model
- TFrecord preparation for dataset HOT 2
- Data processing for train the model HOT 5
- Sketch image of testing result has problem
- Out of GPU memory with 256x256 size images HOT 1
- tensorflow version HOT 2
- Error in flickr_filter to import tensorflow slim HOT 1
- How to test the model on any new sketch? HOT 5
- About MRU
- Flickr images HOT 1
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