Thanks for the new video! Always appreciate the interesting and inspiring content from here ☺. It certainly helps to eliminate the fear barrier to try new things!
lmao I really like how smart google is; by providing this platform to everyone, they are extensively creating a database of different objects that they otherwise wouldn't have access to. Google is getting everyone involved in this huge project. Kudos!
Love the videos, you're the best ever!!! So awesome literally watched them all over the last month. #suggestion Could you please please please do a video on OCR, like if you input an image of a receipt, the output would be text. Wondering if Teachable Machine can handle this, going to try now! Would love to hear your thoughts
For the default value of train you can check if the percentage of how sure the model is below a certain threshold then make the label waiting and only take model guess as an answer only if it passes that threshold
Actrually when I'm trying to use my own URL, it shows an error that "Uncaught TypeError: Cannot read property 'split' of undefined (: line 58)". I have no idea about how to solve it...
Please help! I continue to receive the following error message: Uncaught TypeError: Cannot read property 'split' of undefined (: line 58); and some time the line 58 not even exist; who knows how to handle this? Thank you
@@jamiekazemier3652 het lijkt zo leuk, ik zou zo graag meedoen, alleen zijn er een paar problemen: Allereerst ben ik 18 jaar en word ik 19 jaar in april (dus het is voor mij niet eens duidelijk of ik mag deelnemen). Dan heb ik ook een team nodig, wat ik niet echt heb. En ten slotte lijkt het duur....
You need to train it for an idle stance. just train it to recognize just "Dan" so every other mode will just pop up when it should rather then it detects the most "Dan" in any of the other features.
Hello my friend! don't you have a video showing how to use the model with file upload? For example, in the sketch I can place an image and it classifies what it is ?, in your example you are directly using the webcam.
If the model is seeing your face everytime along with the object then wont it fail to give an accurate answer if you dont show your face with the object
Hello Dan, I am little lost here while browsing through the playlist u have created . got few questions 1. Which playlist is the starting point for Machine Learning ? 2. Is Beginners Guide to Machine Learning in JavaScript obsolete since its not shown on ur channel's home or playlist. 3. In which playlist the convolutional neural network explained? 4. What is next playlist I should follow after Introduction to "Intelligence and Learning" please reply soon...Thanks in advance
@@kaanb.9967 solved! used Firefox instead of chrome that worked for me! going through some stacks it's problem regarding to local server or browser permission.
Very nice work ! 😀 About the detection of the train, I was wondering if it's detection was not due to the green screen that is taking most space of the camera ? Maybe I missed the part when you said it's transluscent ...
Awesome video! Btw, I was using an RNN on a vector of sequential data for classification, but RNNs are slow. Any suggestions that might work well in less time? Thanks! :)
Wow. I'm a guy who works at a cyber security company. I wish I could give it tonnes of logs that are threat and not threat and I'll just send logs to it. :D
Thank you for making this video. I have one image per class and 500 classes. Can I use the webcam to create more images from the single image I have, so the model has more to analyze? My images are already saved to my drive, so I can't just hold them in front of the webcam like you did with the unicorn. Any suggestions? Thank you.
i have error when running the p5js without adding the (modelURL+ 'model.json') in the function preload , now it is fonctionnel correctly with my model.
Hi, When I run the example from p5js web editor: editor.p5js.org/codingtrain/sketches/PoZXqbu4v I get this error *Failed to link vertex and fragment shaders.*
@@TheCodingTrain Hi Daniel, thanks for a quick response. I had my Chrome on default settings and seems that WebGL was enabled but I still received the same error. But after I changed this setting *#use**-angle* in *chrome://flags* to OpenGL from default.. error disappeared and everything works now :)
What if I want to run two models at the same time, one for image recognition and one for audio? Can I just do the exact same thing you did here twice for the two models? I’ve tried doing that but it seems they are conflicting and causing an error with WebGL that makes my whole sketch crash
Does teachable machine really trains the model on the browser or does it upload the dataset to the cloud and send results back to the browser ? I am curios because if I have a device with lower hardware configuration will it still work ?
Hello and thank you for the helpful video! I'm not sure if what I'm trying to do is even possible. I've trained a model in teachable machine, but I'm trying to use the model for object detection. In other words, I want to get a bounding box of where the object is located, and a label of what the object is. But all the examples I've seen using teachable machine are just object classification - i.e. "there's this object somewhere in the image" without a bounding box. Can Teachable machine be used for object detection?
Interesting...but what about a field that I never saw in your videos...maybe NLP, Personalized Entity Recognition, or other kind of this NLP stuff. Great video.
please help me sir i am facing problem while downloading quantize.tflite file. It says something went wrong on the could. And the downloaded file is corruped and unknown format..
Any thoughts on how to classify video?As i have a idea to sonificate the video (its a “Stargate Sequence” from Space Odyssey). And as I think it’s may be about attaching a certain moving objects, with a certain sound, which ADDSR would be contorled by the moving object. Think about as reversed audio-visuals. Can’t find anything about it, except some MAX msp tutorials.Would be helpful if you could suggest something.
I wish i was 13 again and had you as a teacher in programming BASIC and ASSEMBLER!! I submit to your channel from this one video!
You are one of the most enthusiastic UA-camr out there who loves to teach.
Hi I'm Ariful Islam leeton im software engineer and Apps development
I've been programming for a few years now, and I'm convinced that this kind of stuff is pure magic.
Getting this happy from very simple things? You're a very luck man, Dan, you have solved the mystery of the universe.
Please release the "Don't switch tabs" song! Awesome intro video by the way!
That would be great 🤩
It would be really awesome. please sing it for us.
This is one of the best coding tutorials I’ve ever seen. Looking forward to trying this out.
Oh my god the new videos have SUCH good editing it's soooo good!!!
Great video Dan. Just watched the video by Google and then saw yours, and I clicked.
Same here, yay! 😀
You are my hero! This is an amazing demonstration of this resource and it made teaching middle schools students much better!
Dan describes stuff SOOOO clearly that even I understand
Thanks for the new video! Always appreciate the interesting and inspiring content from here ☺. It certainly helps to eliminate the fear barrier to try new things!
lmao
I really like how smart google is; by providing this platform to everyone, they are extensively creating a database of different objects that they otherwise wouldn't have access to. Google is getting everyone involved in this huge project. Kudos!
Beautiful video Dan, thank you! Your energy is always incredible!
Feeling excited to create something. Your truly amazing teacher Sir, Dan I can tell even beginner will enjoy your video.
It is a great presentation and you rightly had put me in coding and made me to follow up and right my own. Excellent.
Wow.
Totally different from other youtubers.
You're crazy man.
Love the videos, you're the best ever!!! So awesome literally watched them all over the last month. #suggestion Could you please please please do a video on OCR, like if you input an image of a receipt, the output would be text. Wondering if Teachable Machine can handle this, going to try now! Would love to hear your thoughts
Amazing I never seen this type of teaching skills, Excellent and good content of video. Thanks for your efforts to make our understand easy.
These templates are really helpful and easier to understand! make more of these templates! Great Going!
OMG, Dan, you may be the most entertaining software teachers I have ever seen. Where were you during college? :D
Love it. You are the Bob Ross of the 21st century 🏳️🌈
Honestly surprised you don't have 1Trillion Subs, you're so Engaging!
A true piece of informative genius!
i came across to this channel by accident and i enjoyed a lot, very amused...😂
14:37 YES! you are a rainbow!
Thanks for your efforts to make our understand easy
truly some of the coolest stuff ever.
For the default value of train you can check if the percentage of how sure the model is below a certain threshold then make the label waiting and only take model guess as an answer only if it passes that threshold
Yes! Such a good point!
This guy is pure gold
This is gonna blow up Dan congrats!
Wow, that unicorn stuffed toy was so cuteee.....
You have the creepy but awesome ability to post videos exactly related to what I'm currently working on. 🤔
Great Video Buddy, Also nice song "Don't Switch the Tabs"!
Actrually when I'm trying to use my own URL, it shows an error that "Uncaught TypeError: Cannot read property 'split' of undefined (: line 58)". I have no idea about how to solve it...
Talented presenter. I subscribed to the channel.
Please help! I continue to receive the following error message: Uncaught TypeError: Cannot read property 'split' of undefined (: line 58); and some time the line 58 not even exist; who knows how to handle this? Thank you
The way you teaching is very intresting but please make video on python base ml that would be amazing ♥️
Great video
When I export model for tensorflow lite on andriod
It does not working ☹️
Any help
you are Real programmer
Dan, this is fantastic! The worst thing about being so early is waiting for the next episode :P
It’s all out check out thecodingtrain.com/tm !
@@TheCodingTrain Excellent! Thank you so much :)
Awesome!!!!!!!
The most awesome thing ever
Yay another video
I really liked the video and the content. very useful in exploring time machine
For anyone else using windows trying to figure out the emoji thing - the keyboard shortcut is windows key + . (period)
I think I know what I'm going to do this weekend :D
Uit welke provincie kom je? Miss heb ik wel iets met robots voor je gerelateerd aan je video
@@jamiekazemier3652 ik ben van antwerpen, jij?
@@Tim-Jaeger enschede hiero
@@Tim-Jaeger friesland :p ik dacht dat je de first robotics competition miss wel leuk zal vinden, Google het maar eens
@@jamiekazemier3652 het lijkt zo leuk, ik zou zo graag meedoen, alleen zijn er een paar problemen:
Allereerst ben ik 18 jaar en word ik 19 jaar in april (dus het is voor mij niet eens duidelijk of ik mag deelnemen).
Dan heb ik ook een team nodig, wat ik niet echt heb.
En ten slotte lijkt het duur....
Interesting!
Is that a neural network? I’ve learn abt image processing using matlab for neural networks. The concept is similar.
You need to train it for an idle stance. just train it to recognize just "Dan" so every other mode will just pop up when it should rather then it detects the most "Dan" in any of the other features.
How did you know about this kind of stuffs ? . Really you are very cool person.
I really enjoy it.Thank you!!!!
I love your videos very much Dan. 💛💙💜💚❤
Hello my friend! don't you have a video showing how to use the model with file upload?
For example, in the sketch I can place an image and it classifies what it is ?, in your example you are directly using the webcam.
Just love it.
i love your energy and this video, it's really powerful! thank you so much 💕
If the model is seeing your face everytime along with the object then wont it fail to give an accurate answer if you dont show your face with the object
Hello Dan, I am little lost here while browsing through the playlist u have created . got few questions
1. Which playlist is the starting point for Machine Learning ?
2. Is Beginners Guide to Machine Learning in JavaScript obsolete since its not shown on ur channel's home or playlist.
3. In which playlist the convolutional neural network explained?
4. What is next playlist I should follow after Introduction to "Intelligence and Learning"
please reply soon...Thanks in advance
good video for class 2
There's an Error: "Fail To Fetch" In The Web Editor After running the code! How to Solve?
i have same problem. if you solved this problem , please help me .
@@kaanb.9967 solved! used Firefox instead of chrome that worked for me! going through some stacks it's problem regarding to local server or browser permission.
@@dhruvpatel3963 thank you very much . I will try it.
@@dhruvpatel3963 i tried it but now i'm getting Stack error
solved added 'model.json' at end of url in google chrome
@@deviprakashpandirajan6809 Thanks, this worked for me!
How can i change modelURL to load the model from my PC?
Top VIDEO !!!!
Awesome. I learn a lot from video and enjoyed too.
Love it! 🙂
this was an amazing video! thank you for inspiring me to continue my learning :)!
Very nice work ! 😀
About the detection of the train, I was wondering if it's detection was not due to the green screen that is taking most space of the camera ?
Maybe I missed the part when you said it's transluscent ...
Awesome video! Btw, I was using an RNN on a vector of sequential data for classification, but RNNs are slow. Any suggestions that might work well in less time? Thanks! :)
Thanks for sharing!!. You are a genius.
Wow. I'm a guy who works at a cyber security company. I wish I could give it tonnes of logs that are threat and not threat and I'll just send logs to it. :D
incredible
Excellent !!!
Thank you for making this video. I have one image per class and 500 classes. Can I use the webcam to create more images from the single image I have, so the model has more to analyze? My images are already saved to my drive, so I can't just hold them in front of the webcam like you did with the unicorn. Any suggestions? Thank you.
Great video sir
Nice one..
i have error when running the p5js without adding the (modelURL+ 'model.json') in the function preload , now it is fonctionnel correctly with my model.
If you'd like support come hop into the discord! thecodingtrain.com/discord
Thank you so much, Khaled! This comment helped me to run the code!
Hi, what if I want to add pose as input and get audio output?
What do i have to do if i get a TypeError {stack: ""} instead of object object object please help i have to finish my code before friday
putting "model.json" at the end of the image classifier url string fixed that error for me
This is awesome!!!!
Is there a possibility to "speed up" the loading time of the teachable machine models?
Please do a bubble shooter or match 3 in a coding challenge.
Hi Daniel, is this compatible with p5.js??
Hi,
When I run the example from p5js web editor: editor.p5js.org/codingtrain/sketches/PoZXqbu4v
I get this error *Failed to link vertex and fragment shaders.*
Same problem, however only on Chrome latest
Check and see if you have WEBGL disabled in the browser?
@@TheCodingTrain Hi Daniel, thanks for a quick response. I had my Chrome on default settings and seems that WebGL was enabled but I still received the same error. But after I changed this setting *#use**-angle* in *chrome://flags* to OpenGL from default.. error disappeared and everything works now :)
What if I want to run two models at the same time, one for image recognition and one for audio? Can I just do the exact same thing you did here twice for the two models? I’ve tried doing that but it seems they are conflicting and causing an error with WebGL that makes my whole sketch crash
Nice project
Does teachable machine really trains the model on the browser or does it upload the dataset to the cloud and send results back to the browser ? I am curios because if I have a device with lower hardware configuration will it still work ?
It does it in the browser! It will work on most modern computers with WEBGL compatible graphics card.
Hello and thank you for the helpful video! I'm not sure if what I'm trying to do is even possible. I've trained a model in teachable machine, but I'm trying to use the model for object detection. In other words, I want to get a bounding box of where the object is located, and a label of what the object is. But all the examples I've seen using teachable machine are just object classification - i.e. "there's this object somewhere in the image" without a bounding box.
Can Teachable machine be used for object detection?
Your videos are very playful.
Thanks for this.
I have a question ?
How to add training without redoing everything?
Can you please send code for percentage accuracy that can be displayed below the webcam screen?
Reply as soon as possible
Super cool!!!
Interesting...but what about a field that I never saw in your videos...maybe NLP, Personalized Entity Recognition, or other kind of this NLP stuff. Great video.
Love you always
awesome video ,i have a question , can you add multiple image/ different objects to single class ?
i will check it out !
Was there a live stream for this? I love to watch Dan unedited
There was not, this was prepared "behind the scenes" in order to coincide with the launch today.
What about image recognition / object counting? Can it be done with ml5js?
please help me sir i am facing problem while downloading quantize.tflite file. It says something went wrong on the could. And the downloaded file is corruped and unknown format..
Any thoughts on how to classify video?As i have a idea to sonificate the video (its a “Stargate Sequence” from Space Odyssey). And as I think it’s may be about attaching a certain moving objects, with a certain sound, which ADDSR would be contorled by the moving object. Think about as reversed audio-visuals. Can’t find anything about it, except some MAX msp tutorials.Would be helpful if you could suggest something.
I love ur VIDEOS
Excelent video!! im a tensorflow noob, could this generated model be used to detect several objects (and count them) in one image?
Yay Machine Learning!
Why haven't you shown something like this with a regular image classifier without the camera?
I am not able to download tensorflow model either in Keras or saved model , it says something went wrong while converting.