Wow! Just Wow!
ur making me love machine learning dude
Can you a video on the raspberry pi 🙂
Wow, you're so active lately! I wish I could put out videos that fast.
I love his attitude.
I started learning about deep learning today how odd
The notification creeeew
Chooo Choooo !
I think this guy's energy is infectious I just wish I got this excited during class.
I love your videos and i am so glad and grateful that you are teaching ML
Hey I just watched your entire video and its great!I tried to recreate it but i got an error like this: DOMException: Failed to execute 'texImage2D' on 'WebGL2RenderingContext': The image element contains cross-origin data, and may not be loaded.
do you have a way to fix this?
Can you do a simple named entity recognition?
I have been trying to get your attention unsuccessfully, you are a busy person , I know, I have a perhaps small request, and that is: Would you entertain the idea of developing a jigsaw puzzle algorithm to divide or cut a picture into the classic puzzle pieces pls.?
R this image classification use gpu?
Love your videos, been following for a while and learning tons. Thanks for putting this kind of stuff out there! Do you think the different probabilities in the puffin guess was because the puffin image aspect ratio might've been changed when you resized it to the canvas?
I just got to the 4:41 where you were wondering if all the probabilities need to add up to 100%, and I'm not sure they always do. For example, if the model has an entry for both "Dog" and "Bloodhound", it could be 100% sure that the current image is a dog, but only 80% sure that it's a bloodhound, or something like that.
i like this guy. i am watching just because it's entertaining. i don't even care about js.
inspiration for chrome extension that detect what is on the screen 😛
Hi Great tutorial, is it possible to use the training with ml5 library or use the custom trained model in it?
Super simple! Thanks
Hi! I am encountering some sort of error and cannot find any documentation to help me out. Using chrome or safari, I am getting the same result set every time a different image is loaded. This result set is : velvet, window screen and syringe, all with extremely low probabilities.I have not been able to fix this issue (I have even copy-pasted the html example from the ml5js page with no success). Please help!
I think you're getting different results 'cause if you're 100% sure it's a dog on a picture an 0% it's a cat it is indeed 100% a dog, but if you think that it has a 70% chance being an alligator and 30% being a crocodile you can say that (by just taking the average of results which is really bad statistically most of the times) it has a 50% chance of being an alligator (favorable to alligator for obviously having the highest rating between all the results)
Great tutorial!! I made a Chatbot based on Eliza and incorporated MobileNet so the bot can see.. Fun stuff, I'm adding face recognition later this week. You can see it on github and at ioegg.comAlso, maybe the reason for the different prediction confidence values for the Oystercatcher is the canvas size or image resize was different between the two tests.
Thanks, now I understand what took so long for Agumented Reality to be wide spread.
when you are using the new firefox developer browser you wont need a server to run p5 or any other js library 🙂
i am still waiting for the YOLO video
Hello , man i enjoy watching your videos , it 's entertaining and full of informations that i need , so my question is : is there any other library that make me able to use ml5.js , because i m not familiar with p5.js ? thanks
lol. snorkel. That one got to me. XD
Love these tutorials -thanks! Just a quick question: say you have a program/website where a user can upload their own photo to be classified by the MobileNet model (like on the ml5.js website) how ‘safe’ is that? Does MobileNet (or the website) store a record of the image in any way after using it, for example, are user-uploaded images encrypted etc?
Turdus migratorius? Wow, scientific names can be harsh.What did the poor bird do to whoever came up with that name? XD
Why does it say createImg not defined, even tho no error with createCanvas ???
It can tell you that you are a snorkel, but it cannot tell you why. There are decisions, but no reasons. Dan Shifman is the best software teacher on YouTube.
the sound of Dan's kitchen bell is one of the most fun things to hear in coding tutorial videos, ever.
"I got a lot of probs" haha
codetrain code morse
Awesome video. thank you.
hotdog, not hotdog
my console says:Use of the orientation sensor is deprecated. p5.js:48187:6Use of the motion sensor is deprecated. p5.js:48187:6
I have great respect for the time and energy you put into sharing so many "chucks of knowledge" in such a wide range of domains. Thank you.
I like that shirt, where you get it haha?
Your videos are great!
This is the first video i watched and it's so cool. i'm newbie so can you tell me how do you build this in 127.0.0.1 server??
I tried your code from github…but my browser showing webgl not supporting… Please help
If you want to implement ml5.js MobileNet model with React.js, check this article:https://medium.com/@julienrioux/in-browser-ml-with-react-js-and-ml5-js-f3eeb5149404
why you do deep breathing with only say, so cute 😀
How does i to run the program ?
whenever i try to run the code i get an error in the console that says failed to execute 'texImage2D' on 'WebGL2RenderContext': The image element contains cross-origin dad , and may not be loaded.
The issue is that i used the same code and i used the same picture so i dont know what is wrong
I got this error "DOMException: Failed to execute 'texImage2D' on 'WebGL2RenderingContext': The image element contains cross-origin data, and may not be loaded."
Hey Dan, trying out your code of this class in p5.js and kept getting the error "Uncaught ReferenceError: ml5 is not defined ". I checked the code and it looked right so I went to your git hub page with the code, copied it and pasted it in the p5 editor and still got the same error. What should I add to make the code work? P.S. love your videos.
Its all cool and stuff.. but I wanna learn how it got trained… how do I learn that?
That puffin really does look like Drake.
Thank you so much!!
Maybe js is the future for ML/classification cause it's closests to the internet than any other language..The database to handle with is enormous..maybe it's more a matter of copyright and privacy that's is not booming?.I was playing with google colab ,kaggle and tensorflow but the inputdata is always limited..So…Or i'm I wrong…I!m more an artist than a programmer so i don't see it that clearly..Keep up the good work ..It's great !!(and fun)
How do i intergate P5.js within a React js project?
how to run the code in server mode..???bcz while I'm opening with index.html in browser its not opening with classification work??>
May, 2019. In the p5js editor image is being loaded automatically, only with the image() command.
let label = results.label; let conf = results.confidence;
I want to know, is there a way to use object or image recognition on internet or website like on Amazon or Walmart to product images recognition, etc, rather than using real-time object detection via webcam. please reply
21:06 Maybe because you resized the image so it fits the canvas.
When I run the above code, I get the error "sketch.js:18 Error: Failed to link vertex and fragment shaders.". When I googled it and got a solution as "Same here, solved by disable gpu backend _tfengine.ENV.set('WEBGL_PACK', false) before you do anything with tensorflow. An other option would be upgrade your graphic card driver~" . But I do not know how to apply it. Anyone got this error and resolved it ?
1 year anniversary! For this anniversary, I'm going to actually learn this xD
It isn't working on brackets.
Dan you're so much fun! Thank you!
ml5.imageClassifer() is not a function
In case anyone wants to use MobileNet locally (offline), it is possible to download a local copy of the model json file and reference its path, see on GitHub a repository named "ml5-data-and-models-server"
I can't seem to get this to work with version 0.4.3… (with 0.1.1 yes)
Cross-Origin Request Blocked: The Same Origin Policy disallows reading the remote resource at https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/2/model.json?tfjs-format=file 2. (Reason: CORS request did not succeed).
GET https://tfhub.dev/google/imagenet/mobilenet_v2_100_224/classification/2/model.json?tfjs-format=file net::ERR_NAME_NOT_RESOLVED
if i try to go to
i get “We’re having trouble finding that site.”
does this mean the mobilenet server is down ?is anyone else having the same problem ?
This is amazing… so cool!
Thanks so much for the videos, these are all amazing! I was wondering if you/ someone would be able to help me alter the code for this so that it always accesses the rear camera instead of the front facing camera? Thanks again
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