Training and deploying ML models on edge devices (TF Fall 2020 Updates)

[@hiramcoriarodriguez1252]

What about Flutter? We need an easy integration between both technologies.

[@nadjemtech4963]

Thnx . Can you add some exemple with flutter ? And does TF create models for .mp3 or .wav data ? For vocal motions recognation

[@khanhleviet5416]

Thanks for the feedback. We'll look into providing instructions for Flutter in the future. If you want to do sound classification (recognizing different kind of sounds), there will be a blog post coming out in TensorFlow blog early December on this topic. blog.tensorflow.org/

[@kadamankit]

Much needed content, thanks.

[@angelogriffin2679]

@Lee Forrest thanks, I signed up and it seems like they got a lot of movies there :) I really appreciate it !

[@leeforrest9661]

@Angelo Griffin no problem xD

[@patinronin2991]

Great video , can you share the documentation using flutter ? Thanks

[@fauzisafina1827]

How about our custom model sir..? How to convert model from scratch, i mind not use pretrained model..

[@Ur.Podcast_Buddy]

How to learn reinforcement learning?

[@khanhleviet5416]

You can check out TF-Agents www.tensorflow.org/agents

[@mahuraanhoggaan1037]

how can someone add train his custom data?

[@searcholex]

loved it - very well done :-)

[@kayemni]

From what I see the training isn't done on the edge device, the title is definetly misleading, "Training, and deploying ML models on edge devices" is more like it (yes the coma makes all the difference)

[@FirstNameLastName-fv4eu]

Accuracy 93% means nothing. Stop confusing and misdirecting people!!!

[@imakonkonvicted]

Thank you for your kind information Sir. Awaiting your explanation on what 93% means and at what percentage does it become something rather than nothing.

[@FirstNameLastName-fv4eu]

@@imakonkonvicted Running very busy brother. Allow me to take some time. Will explain in simple college english.