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Bilomi je zanmiljivo na satu i naučio sam nešto

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Bilomi je zanmiljivo na satu i naučio sam nešto

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Bilo mi je zanimljivo na satu i naučio sam nešto novo

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Bilo mi je zanimljivo na satu i naučio sam nešto novo

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Na današnjem satu je bilo jako zanimljivo, naučio sam nešto više. Hvala!

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Na današnjem satu je bilo jako zanimljivo, naučio sam nešto više. Hvala!

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Naučila sam nešto novo , hvala učiteljice

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Naučila sam nešto novo , hvala učiteljice

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Danas smo naučili svašta novo i bilo mi je super

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Danas smo naučili svašta novo i bilo mi je super

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bilo je super, hvala učiteljice.

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This experiment lets you take a picture of something to hear how to say it in a different language. It's just one example of what you can make using Google's machine learning API's, without needing to dive into the details of machine learning.

Built by Dan Motzenbecker with friends at Google Creative Lab, using Google's Cloud Vision API and Translate API.

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Thing Translator by Dan Motzenbecker - Experiments with Google

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Since 2009, coders have created thousands of amazing experiments using Chrome, Android, AI, WebVR, AR and more. We're showcasing projects here, along with helpful tools and resources, to inspire others to create new experiments.

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ELIZA is a computer program that emulates a Rogerian psychotherapist. Just type your questions and concerns and hit return. Eliza will answer you.

When the original ELIZA first appeared in the 60's, some people actually mistook her for human. The illusion of intelligence works best, however, if you limit your conversation to talking about yourself and your life.

This javascript version of ELIZA was originally written by Michal Wallace and significantly enhanced by George Dunlop.

© 1999 manifestation.com [ PMB 417 .. 10800 Alpharetta Hwy, Suite 208 .. Roswell, GA 30076 ]
webmaster: sabren@manifestation.com

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This is a game built with machine learning. You draw, and a neural network tries to guess what you're drawing. Of course, it doesn't always work. But the more you play with it, the more it will learn. So far we have trained it on a few hundred concepts, and we hope to add more over time. We made this as an example of how you can use machine learning in fun ways. Watch the video below to learn about how it works, and

Built by Jonas Jongejan, Henry Rowley, Takashi Kawashima, Jongmin Kim, Nick Fox-Gieg, with friends at Google Creative Lab and Data Arts Team.

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Can a neural network learn to recognize doodles? See how well it does with your drawings and help teach it, just by playing.

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Semi-Conductor is an experiment that lets you conduct your own orchestra through your browser. You can move your arms to change the tempo, volume, and instrumentation of a piece of music.

It uses Tensorflow.js, a machine learning library that works in the browser, to map out your movements through your webcam. An algorithm plays along to the score as you conduct, using hundreds of tiny audio files from live recorded instruments.

Find more information about PoseNet on the TensorFlow blog.

Built by Rupert Parry, Melissa Lu, Haylie Craig and Samantha Cordingley from Google Creative Lab, Sydney.

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An AI experiment to conduct an orchestra inside your web browser.