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Deep Style
Using deep learning for artistic style transfer
About Deep Style on Product Hunt
“Using deep learning for artistic style transfer”
Deep Style launched on Product Hunt on November 29th, 2016 and earned 80 upvotes and 0 comments, placing #24 on the daily leaderboard.
Who hunted Deep Style?
Deep Style was hunted by Matt Kiser. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Deep Style including community comment highlights and product details, visit the product overview.