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# machine-learning
  • m
    hm ok
  • m
    i'll see what i can do
  • b
    It's better than Original Marker Model and I need go Almost Perfect Staircase to New Model
  • u
    what the fuck that looks awful
  • b
    Here's 1000 Epochs one but Still Awful and I don't find the Image
  • m
    hm
  • m
    odd
  • b
    I'm doing it again without Goofy End
  • b
    I'm still Training to Make Uberduck Better
  • g
    This is the reason I've presented particular parameter information in my notebook in more detail than before: https://colab.research.google.com/drive/1CIPTTj94EocZe2w5-zCDC3G44K9OaFal
  • b
    Oh
  • b
    I'm still doing it
  • b
    The Good Training supposed to be look like This
  • c
    why the fuck are you training FOR 1000 EPOCHS
  • c
    WHAT IS YOUR DATASET
  • b
    Not This
  • g
    More epochs = bad training
  • b
    True
  • b
    I'm doing 200 Epochs
  • g
    Good
  • b
    If I failed so Many Times then I quited making Uberduck
  • b
    Can you deleted my all Datasets in Uberduck Website because All Sucked if I have all Quality sucked, If there's Good Quality then Keep it
  • u
    >gives up instead of considering the option of fixing the dataset
  • c
    he can't read greentext
  • u
    pretend the text is red
  • b
    I'm failed to be Uberduck Expert
  • u
  • m
    while im here looking at a waveform trying to transcribe a voice
  • m
    its literally the simplest task in the world and i feel like im too scared
  • r
    theres really no wrong way to transcribe unless you're just... doing it bad on purpose
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