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The lesson on autoencoders would be even better if it didn't show the results from the trained network (both for compression and de-noising) before the actual exercise. That feels like a mild spoiler,…
nusco updated
6 years ago
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$ python main.py "input2.jpg" --scale=2 --model="sr"
Using TensorFlow backend.
Old Size : (445, 676, 3)
New Size : (890, 1352, 3)
Number of patches = 1187635, Patch Shape = (8, 8)
Saving inter…
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I am new to this project and don't think I can offer much in terms of help. I would however like to open discussion on a few things though so as to better understand the project.
I have noticed tha…
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Hello,
Awesome work on this pipeline! I am curious about the order of operations for models 13 and 14 in your recent paper: "Benchmarking of participant-level confound regression strategies for the…
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Hi,
thanks for providing this software already now, the results in the pre-print look really impressive. I can't wait to try it out on our own live imaging data. Do you have a time line for impleme…
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IMPORTANT NOTE ABOUT MATLAB R2017a or later: a number of users are reporting issues with
CVX and R2017a; and indeed, we’re seeing them too. At the moment, we must assume that MATLAB
R2017a is *…
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Caffe is perfectly happy with models that make matrix outputs and learn from matrix ground truths for problems where the output and truth have spatial dimensions e.g. reconstruction / de-noising, pixe…
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Hi Ben,
I work with fungal metabarcode datasets, and have been really loving being able to use DADA2 since y'all incorporated variable length reads. Thanks for that! But, I've discovered something …
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Hi,
I was playing with the sample data, and now I have 3 questions.
Q1. How to make dataset with multiple feature values?
Currently, only one feature has one feature value. Is it possible to a fe…
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De-noising data in general will help on overall performance by:
- making the profiler work more efficient
- improving accuracy
This requires that errors occurred for a given column are counted and th…