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Prikvačeni tweet
As you have seen my PR was merged and now
@TensorFlow converter to#TensorFlow2.0 also supports in-place conversion for@ProjectJupyter notebooks. No need to convert to python first! Decided to record a demo, since@DynamicWebPaige had a great video on conversion yesterday!#gdepic.twitter.com/ESxgOKu335Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Growth Hacking Process - https://growthtribe.io/blog/growth-hacking-process/ … Great overview of different steps to validate your hypothesis and how to get most out of it. Slightly touching different aspects from product-market-fit to Bayesian A/B testing
#product#startup@IndieHackers@ProductHuntHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Interesting talk from
@ctosummit by@buritica - Increasing engineering tempo at Splice - https://pbell.wistia.com/medias/ekh3fxtwkx … How successful engineering makes companies successful and the foundation of all this is able to iterate quicklypic.twitter.com/VyYIi0coxE
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Interesting take by
@explosion_ai folks on making#DeepLearning learning a bit easier to run initial experiments. Quite some interesting features like: merging PyTorch, Tensorflow; composing models and operator overload, custom configs and backends like JAX. Looks very playfulpic.twitter.com/q5MDdo5OM3
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Do not miss out - Tomorrow I am hosting a small product maker gathering with
@ProductHuntIRL in Munich. We are going to talk about building products and how it's to switch from being an engineer to being an entrepreneur with story by@domrdy Thanks@StylightTech for having us!pic.twitter.com/i2Q8xf0tdL
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Sergii proslijedio/la je Tweet
Our field isn't quite "artificial intelligence" -- it's "cognitive automation": the encoding and operationalization of human-generated abstractions / behaviors / skills. The "intelligence" label is a category error
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Looks pretty comprehensive
#MachineLearninghttps://twitter.com/suzatweet/status/1213370667799855104 …
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New Year to many people is a magical time to start from a new page. Some of us wanna try to learn a skill but might be intimidated by complexity. The lesson from this TEDx talk - start and you would be amazed how much you are capable in short timehttps://youtu.be/5MgBikgcWnY
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Can I have xmas holidays hacking already?
#tinyML#MachineLearninghttps://twitter.com/petewarden/status/1202328132943876096 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It's a great opportunity to get a feel of such great community early in your career!
#MachineLearninghttps://twitter.com/DynamicWebPaige/status/1201698360408694784 …
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Would be funny if it's the same case as with Bing back in the days - https://www.exp-platform.com/Documents/2009-ExPpitfalls.pdf … orhttps://hackernoon.com/when-you-experiment-with-the-wrong-metrics-85c51cc594ee …
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I wonder what metric twitter used for A/B test led to rolling out this "beautiful and super convenient" new UI for web. I definitely can see myself opening twitter more times. Unfortunately can not scroll and consume as much content as before cc
@TwitterDataPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Interesting case of distilling and running BERT in production to serve over 1 million inferences per second of Microsoft Bing worldwide
#NLProc#NeuralNetworkshttps://twitter.com/ialuronico/status/1196648018466000896 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Great overview on how to make your models smaller and more efficient by
@jamesonthecrow. From model distilling to The Lottery Ticket Hypothesis and way more! - Deep learning has a size problem https://heartbeat.fritz.ai/deep-learning-has-a-size-problem-ea601304cd8 … Especially kudos to so many references to papers!#tinyMLpic.twitter.com/CumKxKw8aD
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Next up
@ThomasViehmann core contributor of@PyTorch talking about building own neural machine translation and to integrate to@libreoffice for his Mompic.twitter.com/lY8kvsm7xQ
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I love how
@_inesmontani cares about API design of@spacy_io reminds me a bit of@fchollet approach to Keraspic.twitter.com/pgr74fWxuB
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You can go as far away as building a small candy sorter with Coral. While collecting images from a different camera and hosting on-device on coral -https://www.youtube.com/watch?v=ydzJPeeMiMI …
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They even offer to host your model for free in order serve with
#tensorflowjs and generate boilerplate code in js as well as in p5.jspic.twitter.com/nUkceQ8lpL
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I love how simple yet end-to-end examples are! Definitely see using it as intro for my ML talks! BTW, this support - work with images, audio and poses - collect/export/download dataset - exporting model, that you can download. So you can run on your tiny devicehttps://twitter.com/nsthorat/status/1192499032037437441 …
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And the link to meetup for convenience -https://www.meetup.com/Hacking-Machine-Learning/events/266204861/ …
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I am happy to announce our next great NLP evening by
@hack_ai featuring@_inesmontani from@spacy_io telling the story how they integrated transformers for production uses in Spacy library. As well as@ThomasViehmann with an applied story of Neural Machine Translation#NLProcpic.twitter.com/2DA1zvxNJY
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