Below we see three examples of rendering the Golden Gate Bridge in the style of The Starry Night. The forced decoding switch allow decoding of already partly labelled data. If some labels are already known and only the unknown must be predicted, instead of doing a full prediction and correcting the wapiti output as a post-processing step you can enable forced decoding. Remember that I said that the main ingredient for online success is search engine optimization.
Default is the original VGG-19 model; you can also try the normalized VGG-19 model used in the paper. -pooling: The type of pooling layers to use; one of max or avg. This generally produce better results at the cost of slower decoding. This will remove all inactive observations from the model, leading to a much smaller model when an l1-penalty is used.
Reduce image size: If the above tricks are not enough, you can reduce the size of the generated image; pass the flag -image_size 256 to generate an image at half the default size. These give good results, but can both use a lot of memory. The OCE will accept up to 450 line items per claim. There are many people out there who always tell themselves that it’s time for a change.