Ozgur OzerMl5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
About ML5.js on Product Hunt
“Friendly machine learning for the web”
ML5.js launched on Product Hunt on June 17th, 2018 and earned 239 upvotes and 8 comments, earning #1 Product of the Day. Ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
Who hunted ML5.js?
ML5.js was hunted by Ozgur Ozer. 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.
Reviews
ML5.js has received 1 review on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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