Thanks for viewing the talk, if you have any further questions about TensorFlow.js come check out our booth at Chrome Dev Summit, or you can add me over on Twitter @jason_mayes / LinkedIn and ask me there!
So all deep learnings are machine learnings, but not every machine learning is deep learning? Just kidding, very nice explaination. I don't know why I watched it, but I enjoyed it. It's very important that people realize that their phone and browser is already using multiple AIs and that we have the devices to calculate our Ais on our phones. This is in case of data protection a nice option. Imagine the AI that sorts the your mails for you (like in Gmail) would run on your device only. With this you could encrypt the model client-side and upload it for synchronization only. Or customized Ads. Just give the user a list of ads in different categories and let the AI locally calculate what the best ad for the user is.
Indeed people often assume JS is just a toy but it's actually very powerful and has matured a lot since the early days. Glad you enjoyed! Happy hacking!
@@JasonMayes practical projects. Setup, idea, training a model, applying it in a real project. With code and stuff. Just like a NN i'm very much a learner by example 😁
@@TomHermans thanks for letting me know. We have some codelabs you may enjoy in the meantime before videos are made. Check Google codelabs and search TensorFlow JS
Not sure quite what you referring to but if you want the facemesh demo the details are all on the tensorflowjs website under models - click on facemesh and you will find the demo i showed on the github repo readme
See towards end of talk where I talk specific advantages of running client side in browser such as privacy, lower cost, faster inference times (no server side call so no round trip time to server and back again etc)
Public demo for the qna (github.com/tensorflow/tfjs-models/tree/master/qna) doesn't work: JS error: tfjs:17 Uncaught (in promise) Error: 'multiply' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen
Can you submit a bug report. It is possible its because its referencing latest version of TFJS that has breaking changed. Changing to fixed version for the library import eg 2.0.0 may make this go away.
@@ironmonkey4411 I'm new to machine learning so i was genuinely curious, Could you tell me why you think tensor flow is bad, and what alternatives do you think are better and why?
take a simple exercise and develop it with more than one tool, for example tensorflow, pytorch, keras or any other, in my opinion tensorflow makes things very difficult for you in many ways, is powerful but.. it is hard work.
Great presentation, thank you!
Thank you for the kind words
A very pleasant and accessible explanation of the basics, thank you.
The clients are the new servers. This feels like distributed web finally...
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Thanks for viewing the talk, if you have any further questions about TensorFlow.js come check out our booth at Chrome Dev Summit, or you can add me over on Twitter @jason_mayes / LinkedIn and ask me there!
Uff!... A lot of material to learn AI applying TFSJ in Javascript Web Browser!... Thanks!
If you have questions feel free to reach out on linked in or Twitter
awesome future for javascript, the web and ai/ml
So all deep learnings are machine learnings, but not every machine learning is deep learning?
Just kidding, very nice explaination. I don't know why I watched it, but I enjoyed it. It's very important that people realize that their phone and browser is already using multiple AIs and that we have the devices to calculate our Ais on our phones. This is in case of data protection a nice option. Imagine the AI that sorts the your mails for you (like in Gmail) would run on your device only. With this you could encrypt the model client-side and upload it for synchronization only.
Or customized Ads. Just give the user a list of ads in different categories and let the AI locally calculate what the best ad for the user is.
Indeed people often assume JS is just a toy but it's actually very powerful and has matured a lot since the early days. Glad you enjoyed! Happy hacking!
It's so cool! Thanks for sharing.
Fantastic video for a newcomer. Thank you very much, Jason! 💪🏼
Most welcome. If you have questions feel free to ask here or reach out to me on Twitter @jason_mayes or LinkedIn!
I've been doing ML with Python on the side. It is awesome that TF is available to add ML to Web dev with Javascript. Thank you for the info and demo.
Thats awesome, ML + AI = life savers.
Very very cool stuff. Great presentation.
Really simple and encouraging video .... Thank you Jason👍
You are most welcome!
AI explained well 🙏
Great video Jason. Very informative and inspiring
Glad it was useful! What else would you like to know about in the future in this space?
@@JasonMayes practical projects. Setup, idea, training a model, applying it in a real project. With code and stuff. Just like a NN i'm very much a learner by example 😁
@@TomHermans thanks for letting me know. We have some codelabs you may enjoy in the meantime before videos are made. Check Google codelabs and search TensorFlow JS
@@JasonMayes son muy buenos los proyectos
is there a tutorial link to get the face mesh with webgl cloud?
Not sure quite what you referring to but if you want the facemesh demo the details are all on the tensorflowjs website under models - click on facemesh and you will find the demo i showed on the github repo readme
Awesome video, thank you soo much.
great technologies ...
Coincidently I was recently searching for a way to do ML on the client side. Glad to see Google hearing my prayers 🙌
Thanks to everyone in the team!
Do let us know what you make if you end up using TensorFlow.js - we would love to see. Use the hashtag!
Uh! Now I know how superman shoots those laser beams from his eyes, after years of being dumb🤠
I was dreaming about this in my college days. Combining web dev with ML. I guess dreams do come true. Awesome!
lol - me too .. the funniest thing is that javascript just wont go away XD
JS is here to stay and I'm excited to see what you make! Do share if you do!
@@JasonMayes sure thing. And moreover, I couldn't agree more about JS.
didn't knew that tf.js can do this much!!
Hope to see what you make in the future!
Fantastic video, thanks!
The superpowers that we were promised in the sci-fi movies.
Yep. Like 1984…
Awesome Job! thanks for the information!
Most welcome. Glad you enjoyed the presentation! Look forward to seeing what you create!
Very much informative
Glad you enjoyed! Let us know if you make stuff!
awesome, it seems a lot of using sicario with tfjs
I didn’t hear a word I was hypnotized by the microphone. 🌈 🎙
RGB makes the ML run faster. :-)
Awesome! #TensorNinjas !
Glad you enjoyed!
I liked it a lot good starter material well done
Thank you Frank!
Amazing! Can't wait to start learning
Glad you enjoyed! If you have any questions reach out on Twitter @jason_mayes for a faster reply. Happy hacking!
It's very inspiring!
Glad you enjoyed! If you have any questions reach out on Twitter @jason_mayes for a faster reply. Happy hacking!
I learned if its above the line its an orange and if its below its an apple... damn... so much to learn...
Simple beginnings from which everything else evolves from.
thanks for this awesome stuff but Ironman doesn't shoot lasers from his eyes/mouth. :D
Whoops! Wrong superhero my bad. Maybe we can do from hand using handpose instead :-)
What’s the difference from using this and accessing an api that does tensorflow already like let’s say in python?
See towards end of talk where I talk specific advantages of running client side in browser such as privacy, lower cost, faster inference times (no server side call so no round trip time to server and back again etc)
@@JasonMayes Amazing, thanks Jason!
nice one , thanks
You are most welcome happy hacking!
I Love it!
🔥awesome, thanks! 🏄
AWESOME! best ML overview ever.
Feel free to share with others who may enjoy and you can find me on Twitter / linked in if any further questions on tfjs
Teachable Machine sounds like it might be easy and fun to play around with to learn and prototype machine learning!
Nice
Exelente más innobado y fácil de manejar
Evil laughing (at TF potential) muahaha
Do tag us with #madewithtfjs if you make something cool!
Hey guys listen a joke 😁 "Thank you for leaning machine learning 😁😁😁😂😂😂😂😂😂"
iron man lasers lol
My bad. I should have said the baby from "The Boys" who actually shoots lasses from eyes
Public demo for the qna (github.com/tensorflow/tfjs-models/tree/master/qna) doesn't work:
JS error: tfjs:17 Uncaught (in promise) Error: 'multiply' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen
Can you submit a bug report. It is possible its because its referencing latest version of TFJS that has breaking changed. Changing to fixed version for the library import eg 2.0.0 may make this go away.
I believe this should now be fixed.
IooJoo iini adalah untukmu kita ooooo
Igor vai
Tensor floww?? no thanks
why not
try an alternative, you will know
@@ironmonkey4411 I'm new to machine learning so i was genuinely curious, Could you tell me why you think tensor flow is bad, and what alternatives do you think are better and why?
take a simple exercise and develop it with more than one tool, for example tensorflow, pytorch, keras or any other, in my opinion tensorflow makes things very difficult for you in many ways, is powerful but.. it is hard work.
@@ironmonkey4411 Which one produces the highest quality models on average?
Amazing Video!!!
Thanks a lot
Nice