6.3: TensorFlow.js: Variables & Operations - Intelligence and Learning

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Hey Dan, just wanted to let you know that I love your videos! Your energy and enthusiasm is amazing. You've inspired me to start my own coding channel! Thanks for all the great videos! Keep up the good work :)

BarneyCodes
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Dan, is one of the biggest source of coding inspirations for future on YOUTUBE!
Good Luck, plz continue this effort forever.

giveaway
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Nice to hear you mentioning FunFunFunction and yes there are nice episodes on 'promises' and 'async await' there, keep it up Dan!

simoneicardi
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the ironic part about this is, i am probably going to learn more from your videos than from any 12 hour free code camp bs

css
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love from heart to you and your content, believe me when I saw that you made me understand tensorflow.js, not anyone else

saronarabeds
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i've been watching the channel for i don't know how long, and really, such a professional in creating a learning environment, the candor and passion
thank you for the video, thank you editors, and thank you patreons!

sherhy
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Dan showed the world, how amazing the online coding community can be!

giveaway
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Tensorflow.js is the most exciting thing in ML for years. I still can't work out why more fuss isn't being made about it.

tonycatman
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Thanks for your effort dude. Your videos are so interesting and informative. Idk how you can release new videos so frequently, but just keep it up. 🔥

sohailkutty
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Dude you're beyond inspirational. Keep up the good work, you're helping me out tremendously !

tattedcodementor
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I always forget to line your videos because i‘m so excited for the next one and just skip to it when the important stuff is explained :D
Maybe implement something which reminds me so I‘ll never forget again xD

Thx for the awesome tutorials you‘re doing... I really enjoy the simple way you present the problems and the practical things you do with them
Keep it up!

beatdesign
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Props for mentioning 3b1b 11:21
Amazing channel like yours.

mmertduman
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It's also important to notice that the result of matrix multiplication at 17:10 and 17:56 don't match up, while the data was the same.

This is because making a 3*5 matrix with the same data and transposing the 5*3 matrix doesn't produce the same matrices!

Say the data is [1, 2, 3, 4, 5, 6, 7, 8]

a 2*4 matrix from this would look like
[[1, 2, 3, 4],
[5, 6, 7, 8]]

A 4*2 matrix would look like
[[1, 2],
[3, 4],
[5, 6],
[7, 8]]

and the 4*2 matrix transposed, would look like

[[1, 3, 5, 7],
[2, 4, 6, 8]]

(basically the rows and columns are exchanged in a transpose.)

Hence any a*b and a b*a transposed matrices aren't usually equal.

sadhlife
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I was fangirling a little bit when you mentioned FunFunFunction

mauricioberlanga
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loved the video






tense.arraySync() will return the array in shape of the tensor

flexitheelectron
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btw in you case you can just do data.then(console.log) since console.log is also a function with one paramter (technically more but for this example one)

jonathan-._.-
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your content is so valuable, thank you so much for sharing

temisegun
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you are the best .. unique way of explanation

LifeStory
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Hi Dan,
First, I wanted to say that I LOVE your videos, especially these on tensorflow.js., ml5js and P5. When rewriting and working with your code regarding transpose and tried to print it, I found that I got errors unless I first defined the shape of const shape A and B and they had to match (i.e. 5, 3) and I had to change the 3d to 2d. Thank you very much for these tutorials. I hope that you put plenty more about tensorflowjs, ml5js and p3.

newcooldiscoveries
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For some reason, when I use get() function, the console says that it should have as many arguments as the rank, i.e. i need to use "tense.get(0, 0, 0)" to get the first element.
Interestingly though, the elements are still numbered 0 to 29, and using any other values than 0 and 0 for the first two arguments gives undefined.
I think its because I'm using tensorflow 13.0.2 while in the video it is 10.0.0

Ps. Thank you so much for your efforts. You are truly an angel 👼

touchstone