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    So should I keep that line? That depends purely on your goal use-case The yyy suggest vocalization (non-lexical sound) Do you want to need to have similar instances in your final data? In general, I would say you want to: Keep similar instances if you are doing: analysing of interactions complete interaction transcripts language acquisition research Remove them if you focus on: pure NLP
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    I have a huge dataset with ~470,000 rows and ~1400 columns I only require 184 of the available columns I'd like to limit the columns I read in to improve my dataset's loading times How do you sp
  • Can anyone verify my NN diagram if it is properly drawn?
    I have used Netron to visualize the network (up) but this image is not readable in a publication so I drawn one myself (down) Can anyone comment if this is proper representation - especially the last part after the concatenation - I am not sure if there should be 2 or 3 dense layers?
  • Loss function in GAN - Data Science Stack Exchange
    Since the aim of a Discriminator is to output 1 for real data and 0 for fake data, hence, the aim is to increase the likelihood of true data vs fake one In addition, since maximizing the likeliho





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