François Chollet on Twitter: "Only a small percentage of the people who use Keras have actually starred it on GitHub. If you haven't already, hit the star button. It's free, and you can always change your mind. https://t.co/uapTN0oj5f"

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1. logan‏ @thenatlog Sep 9
  Replying to @fchollet
  
  put the call-to-action in the docs on the most trafficked page
  
  3 likes
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1. Nicholas Renotte‏ @nicholasrenotte Sep 9
  Replying to @fchollet
  
  Just starred it!
  
  4 likes
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1. Show replies
1. Computational Social Scientist‏ @CompSocialSci Sep 9
  Replying to @fchollet
  
  That's true for many more things than Keras. 1) GitHub doesn't provide a compelling reason to do so 2) We are already inundated with push content every hour we use "free" technology and Google satisfies our need for efficient pull content.
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1. Andrei Rekesh‏ @AndreiRekesh Sep 9
  Replying to @fchollet
  
  is this a dream reference lmao
  
  2 likes
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1. gosuto‏ @gosuto_ai Sep 9
  Replying to @fchollet
  
  unfollowing. this isn't tiktok; "liKe AnD suBsCRibE"
  
  1 like
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1. Data Analysis‏ @stats_vsl Sep 9
  Replying to @fchollet
  
  thnks for reminding. just starred
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1. dayta.scientist‏ @DaytaScientist Sep 10
  Replying to @fchollet
  
  starred
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1. Madlonsou‏ @madlonsou Sep 10
  Replying to @fchollet
  
  I'll give it star if you tell me there's a way to use the predictions computed during the validation phase in the 'fit' method from a custom callback (e.g. for plots). So far the only workaround I found is to write a custom validation callback, ignoring the one available in 'fit'
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