My 'oldest' friend (now in his 80s) once quipped, "If you don't like getting old, consider the alternative." ;-) We love you, Daniel. Please continue growing old!
Thank you for making this so accessible. Even having a decent amount of math under my belt, it is frustrating to be met with a wall of jargon when I'm trying to explore new technologies, AI specifically.
You are a really great teacher. Great job for a non-math, non-data science professional. Really good. A lot of professors get this wrong. Tensors go from zero-dimension / "0 rank" scalars, through to any number of dimensions, with common words like list/array, matrix, and 3D+ Tensors used along the way. Tensorflow is written across C, C++, Python and CUDA at the core language level.
Your videos are the easiest to understand of all those I've looked at. It is because you make yourself real and accessible in the discussions of the topics.You have the ability to breakdown complex ideas into simple ways of seeing. That is what a good teacher does !!!
Just had my last university exam today, finally have a few weeks to really dig into machine learning. It's always intrigued but intimidated me, time to first verify and then put those fears to bed. Looking forward to going through a bunch of your videos and then getting my hands dirty with tensorflow.js Your enthusiasm is infectious, makes me want to learn. Thanks!
I have started to watch this after new videos about ml5 video lessons. I thinks this is more important for people who want to learn further. Please continue this way. Math for AI is important as well, with example of usage in AI algorithms. I see that you went into physics and unrelated math lessons. I hope that we will see more of tensorflow lessons from you, because you are the BEST teacher i have ever seen. :) I wish i had you as my teacher. Thank you for your hard work!
very very great indeed :) You are literally contributing to development of the humanity (thanks to internet) Please keep up the good and high quality work!
I really like your channel. I have first found this while searching for chrome extension. Then Tried again for github. I simply can't express my gratitude in words. It was amazing tutorial. Now planning to start artificial intelligence video. Thanks a ton.
I have been looking for a good introduction to tensorflow, god forbid google would put one out. Your javascript tutorials are excellent. Your energy is contagious.
Dude, you are super awesome! I aspire to be as enthusiastic, entertaining and knowledgeable as you are! Definitely one of my favorite Educators ever! I have been inspired to create my own TH-cam channel. I have uploaded my very first video! Thank you! Have a fantastic day everyone!😁👍
First time that I write, I I have to say that you are my hero, I hope to be like you some day. For now I just know JScript and learning Java. I don't miss any of your videos (:
I love how you teach. I learn much more from you than course i am on that cost 2000 usd for one person... I love what you do... And tensorflow is awsome... :)
Hey, loved the video but could you possibly create a video where you explain how to create a simple generic algorithm with neural networks using tenserflow.js?
I've been using deeplearn.js, which is what Tensorflow.js is built on top of. Personally, I don't really like Tensorflow because of its verbosity. I also don't like its static graphs. That's why I like PyTorch since it is flexible, readable, and dynamic. Thanks to ONNX, I won't have to switch over completely to use TF.JS!!
Are those flask examples anywhere? I want to use tfjs but realized that there are still some things I need the python version of tensorflow for. It seems like you didn't end up releasing them but I wanted to check.
I know there is no compute shaders in webgl 2, so wonder how tensorflow.js handles and accesses all the data. Curious if they're using textures buffers as a way to send data to the GPU then using texture functions in shaders to randomly access the data as needed. Or is the data very linear where the data is pushed to data buffers and accessed chunks at a time or through transform feedback. Been using raw webgl for over a year now for 3D graphics but never attempted to do any hard computation on the GPU besides particle data with transformfeedback where the shader computes updated data and saves it into another data buffer in a ping-pong like flow. Just interesting stuff under the hood.
Hello, I was wondering if there is a way to break into an object in javascript. Example: I have an object that contains "car is moving" I want to find out if the word moving is contained in that object.
Since it's generally recommended a good math background before getting started w/h Machine Learning, should i have the same math prerequisites to follow this series from the very beginning?
I do my best to assume everyone is a beginner for these videos and cover the math concepts (or point to other resources) as I go. There is more background in this playlist: th-cam.com/play/PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh.html
This guy is the best youtuber. Should have 63 million subscribers..
wonder how pewdiepie's diss track of the coding train would look like.. ;p
why exactly 63 ?
@@aymenoppasoftware6971 because pewdiepie at the time had that many subscribers
*64?
A stack? :D?
you are indeed a brilliant human. please don't get old.
too late!
My 'oldest' friend (now in his 80s) once quipped, "If you don't like getting old, consider the alternative." ;-)
We love you, Daniel. Please continue growing old!
richard vinc A person who keeps seeing beauty in everything never grows old!
Your french prononciation of keras was brilliant
i never thought i would be annoyed about watching video without ads, words can't describe my gratitude
WTF, instant likability factor through the roof. Thanks for the energy and enthusiasm man! I'm learning a lot more than tech stuff here. Like a lot.
I found this channel last month. Now I am addicted.
I am watching every video available on this channel.
Thank you for making this so accessible. Even having a decent amount of math under my belt, it is frustrating to be met with a wall of jargon when I'm trying to explore new technologies, AI specifically.
You are a really great teacher. Great job for a non-math, non-data science professional. Really good. A lot of professors get this wrong. Tensors go from zero-dimension / "0 rank" scalars, through to any number of dimensions, with common words like list/array, matrix, and 3D+ Tensors used along the way. Tensorflow is written across C, C++, Python and CUDA at the core language level.
Your videos are the easiest to understand of all those I've looked at. It is because you make yourself real and accessible in the discussions of the topics.You have the ability to breakdown complex ideas into simple ways of seeing. That is what a good teacher does !!!
I love The Coding Train tutorials. It's the delivery style that makes them so approachable.
Just had my last university exam today, finally have a few weeks to really dig into machine learning. It's always intrigued but intimidated me, time to first verify and then put those fears to bed.
Looking forward to going through a bunch of your videos and then getting my hands dirty with tensorflow.js
Your enthusiasm is infectious, makes me want to learn. Thanks!
I'm jumping on the hype train for tensorflow.js !
wtf... who the hell is this guy, he's frikken awesome. Absolutely the best overview on tensorflow landscape I've found
He's a professor at NYU: shiffman.net/
I have started to watch this after new videos about ml5 video lessons. I thinks this is more important for people who want to learn further. Please continue this way. Math for AI is important as well, with example of usage in AI algorithms. I see that you went into physics and unrelated math lessons. I hope that we will see more of tensorflow lessons from you, because you are the BEST teacher i have ever seen. :)
I wish i had you as my teacher. Thank you for your hard work!
can't skip any of your video without leaving a like. Best TH-camr ever!!!
The stuff that you're making it's totally inspirational for all of your viewers.
Thanks for that! I hope to be like you one day ... Congratulations!
to be honest i really love your videos, u make it easier for us to understand complicated staff..
am really enjoying learning from The coding train..
I understand everything and don't know why feel happier.
very very great indeed :)
You are literally contributing to development of the humanity (thanks to internet)
Please keep up the good and high quality work!
Dude! My attention span is just about 5 mins, but hell yeah! You are awesome explaning things! You got my 1 subscribe!
How can you be so good? I came back after a long time and I'm hooked again.
I really like your channel. I have first found this while searching for chrome extension. Then Tried again for github. I simply can't express my gratitude in words. It was amazing tutorial. Now planning to start artificial intelligence video. Thanks a ton.
So nice to hear!
I have been looking for a good introduction to tensorflow, god forbid google would put one out. Your javascript tutorials are excellent. Your energy is contagious.
I've been waiting for this since the day I subscribed.
Thanks ))) A tensor is a generalization of vectors and matrices to higher dimensions. CPU - Central Processing Unit
Finally! I've been waiting for some tensorflow videos from you for a while now :D
Long time looking for a tensorflow.js introduction.
I literally don't know how much this gentleman is awesome ❤❤
I haven't even watched yet, but thanks already. I'm gonna love this.
its really not getting bore by your tutorial since its been an hour.
How was I missing your videos? I love the way you approach to the topics ... and you are really fun!... Thank you so much!!
KERAS
ke'-ras (Kiras):
In 1 Esdras 5:29, the head of a family of temple-servants, called "Keroz" in Ezra 2:44; Nehemiah 7:47.
Dude, you are super awesome! I aspire to be as enthusiastic, entertaining and knowledgeable as you are! Definitely one of my favorite Educators ever! I have been inspired to create my own TH-cam channel. I have uploaded my very first video! Thank you! Have a fantastic day everyone!😁👍
You have a great talent of teaching people
2:17 - 3, 1, 4. Is that π?
Coding master.you inspiring the code universe.
Thank you Mr. Shiffman. I love your tutorials.
CPU = Central Processing Unit
Btw I love this series, keep going!
Zoinks, thank you!
Excellent video, an excellent introduction to what is TensorFlow.js. By the way, this guy is like a crazy genius, he is amazing!!!!
The best teacher programmer
Bonjour !! I'm impressed by your French prononciation, that was great :D
First time that I write, I I have to say that you are my hero, I hope to be like you some day. For now I just know JScript and learning Java. I don't miss any of your videos (:
I also wanted to know which stickers do you have in your laptop, any in special?
Take a look! photos.app.goo.gl/pYURZnREYI9mxBn42
The Coding Train wow thanks so much can't believe it :O
I love how you teach. I learn much more from you than course i am on that cost 2000 usd for one person... I love what you do... And tensorflow is awsome... :)
Best thing on the internet today 😍
We've been waiting for you!
Great job man . Looking forward to the series thanks a ton
I have been waiting for these I'm excited to watch your tutorial on machine learning
Man is a living legend
so hype for this series
Nice introduction, thanks! Btw, tensorflow runs on top of NVIDIA's CUDA C/C++ Framework
Ah yes, good point, thank you!
finally, youtube recommends something beneficial :D
That's ML also :D
I just love this guy
Canvas and Dom are my favorite rappers!
I'll watch these videos if you keep making them. Very interesting.
I will!
Awesome! Thank you, Daniel. Looking forward to learning from you!
Thanks for this great introduction and explanation of this interesting topic.
Is it weird that I do no coding at all but I like watching your videos?
Yeaah!..
Haha.. Je vous le confirme, "Keras" n'est pas un mot français, mais "Hommage" oui.
As always, perfect intro.
thank you su much, you really taught me this stuff in a pretty clear way
Awesome!
Thank you for these.
Thank you man. I’m waiting for future video.
Thank you for your free videos
Your awesome 😊
Ahora si viene lo chido 👌
first!!!
just waiting for your videos brother
love the way you teach and talk 😍
Omg omg Daniel I knew its comming, I was waiting for weeks.
Great tutorial, thanks for sharing your knowledge :)
ah it's been a little bit coding train. it's nice to be back
Immensely helpful, thanks!
I think flask is to python as expressjs is to JavaScript
thanks for this, yes, I agree this is a better way to state it!
Nicely explained.
Amazing your explanations, thank you very much for your work. Greetings.
Thanks, this was so helpful!
Very well done!
You're insane :) but actually was very easy and fun to follow. I'm a fan
Please continue with this.
Love from India❤️
I would like to hear more about the Processing -> Tensorflow story...
Fantastic video, thanks for this
Hey, loved the video but could you possibly create a video where you explain how to create a simple generic algorithm with neural networks using tenserflow.js?
Yes, I really want to do this!
Thank you so much for responding! Lets cross our fingers and hope you get the time to do it ;)
No way?!? Heck yeah!
OMG I finally realized who you remind me of. The DNA from Jurassic Park!!!!!
I'm so hyped
I guess you made a tensor flow chart :)
Thanks for the Video
thank you for this video!!
Great,Now play it in 1.5x
I like it. Very good!
Oh lala! Tu es très gentil! 👍🏼🙂
☹️☹️didn't happen in post production
I've been using deeplearn.js, which is what Tensorflow.js is built on top of. Personally, I don't really like Tensorflow because of its verbosity. I also don't like its static graphs. That's why I like PyTorch since it is flexible, readable, and dynamic. Thanks to ONNX, I won't have to switch over completely to use TF.JS!!
Central 8:00
Hi, how to colorized black and white photo in processing? Thanks.
Sir you are so awesome !!!!
Are those flask examples anywhere? I want to use tfjs but realized that there are still some things I need the python version of tensorflow for. It seems like you didn't end up releasing them but I wanted to check.
They are buried somewhere in here! github.com/nature-of-code/NOC-S17-2-Intelligence-Learning
I know there is no compute shaders in webgl 2, so wonder how tensorflow.js handles and accesses all the data. Curious if they're using textures buffers as a way to send data to the GPU then using texture functions in shaders to randomly access the data as needed. Or is the data very linear where the data is pushed to data buffers and accessed chunks at a time or through transform feedback. Been using raw webgl for over a year now for 3D graphics but never attempted to do any hard computation on the GPU besides particle data with transformfeedback where the shader computes updated data and saves it into another data buffer in a ping-pong like flow. Just interesting stuff under the hood.
Hello, I was wondering if there is a way to break into an object in javascript. Example: I have an object that contains "car is moving" I want to find out if the word moving is contained in that object.
Since it's generally recommended a good math background before getting started w/h Machine Learning, should i have the same math prerequisites to follow this series from the very beginning?
I do my best to assume everyone is a beginner for these videos and cover the math concepts (or point to other resources) as I go. There is more background in this playlist: th-cam.com/play/PLRqwX-V7Uu6aCibgK1PTWWu9by6XFdCfh.html
mmmwwaaaa thanks dan!
It's just awesome.
So, can we say that vector is a collection of scalars and matrix is a collection of vectors?
please, make a video about particle swarm optimization
Waiting for this.. :)