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Hi,
I must say this is a good implementation, simple and easy to follow. Nice work.
I have some questions though.
- In the denoising example, why did you use sigma*1.15 as the error goal?
- What do you think is the best ratio of the blocksize^2 to the number of words. e.g 64 ratio 256?
- How do one know, in advance, the maximum number of blocks to train?
- Can the algorithm work for pixel values in the range -1 to 1?
Thank you very much.
Regards.
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