Neural Networks explained in 60 seconds! 

worst part about shorts is that if you miss something then you have to re-watch the whole short.

This taught me more than i learned about neural network in my previous life as a computer scientist

This was the most impressive explanation of neural networks I've seen.

Some of the activation functions are : 1) Sigmoid function 2) ReLu 3) Leaky ReLu

I don't subscribe to many but very grateful I did subscribe to Assembly AI ! Such a great breakdown

Wonderful short depiction however all of the magic happens in the back propagation/error correction phase .. it occurs to me that while the architecture is clear, any reasonably sufficient representation of a NN must spend at least some time discussing the training.

A simplified explanation but extremely good for beginners

The best explanation of Neural Network. I have ever seen 😮 I am suprised ✨💯

Well explained 👍🏼

Great vid! As always, the toughest talks are the shortest ones!

Very good explanation for just 60 seconds! Another way to think about it is "it is just a mathematical function" and that is honestly scary to me. Are our brains just a gigantic mathematical function? A neural network is just a giant mathematical function that takes multiple inputs and outputs multiple values. Training a neural network is giving the giant function some inputs, comparing the output with the desired output and updating the constants in the function accordingly.

It is actually hard to explain such complex concepts in 60 seconds. Whether the viewer will understand it or not, depends from the knowledge he comes with.

Oh hell yeah, love the music too

awesome explanation and background music 🤘 🤘

Finally someone did it right. THANK YOU!

Great video

Hey I just wanted to say a person literally built a neural network in Minecraft you should watch the video shorts don't support links but the video name is "I built a working neural network in Minecraft using redstone"

This is really impressive

Thankyou! I do have a question though, how are the weights and biases chosen by the training algorithm?

the last half video is quite good.

Nice work girlll

thankyou ☺️ please explain more concepts in long form videos

Amazingggggg.....thanku.....finally....understood....!!!👍🏻

I taught this content for over 30 years. This short video does not clarify anything important about neural networks, nor does it do anything but confuse the viewer.

Say you are seeing a ball. The visual input is one. The sound is an other. The shape is another. Touch is an other. Bias closer to circles. Rolling. Sound rolling. Etc.

That was awesome. Instant sub.

Very nice

Amazing explaation

Amazing explanation

Stellar work! If you seek more, a book with like-minded content is what I'd propose. "From Bytes to Consciousness: A Comprehensive Guide to Artificial Intelligence" by Stuart Mills

Adding weights to inputs creates exponentially accentuates biases at the end results. So there is no escaping biases. Only a different type of bias

Mindblown ❤

Thank you

Mam you just looking like wow ❤❤❤

saved my life !

U r greaT Mam Love From india keep sharing♥️✨

Weights are optimised with a descent gradient, and the prediction is given by logistic regression, but how do you optimise the biases in a neural net?

The use of x, y variable names is a bit misleading since x is often refered to as the input, while y, as output. Though if you are knowlegable about anns, it might not be a problem.

So a neural network has a designed bias? Designed inputs, as well as designed outputs. What’s not controlled about it? The middle layer but still starts off (controlled/biased) How’s it thinking? I’m dumb.

Merci 🙏

WOW 😳 amazing 😍 explain

Is this a pathway to quantum neural computers? As in, one which is robust to quantum uncertainty(thus doesn't need many forward passes, or uses multiple averaged outputs at once to speed it up), handles superposition within the hidden layers, and benefits from the exponential parallelization.

How does one interpret the output?

remember kids: always use reLU activation

Its seems pretty easy to understand 😂😅😂😂😂

Watching this 15 minutes before exam 😭

00:00

Love from India 🇮🇳❤️

0:00 for non-short form

Can you clarify how do you handle errors at the end to mitigate them on the next iteration?

I need more info❤😮😮

My sis explained this in 60 seconds while my teacher couldn't in a semester

Anyone link me something on how to do back propogation / good techniques

But why are hidden layers needed and how many of them?

Well explained. NN for Dummies.

have you ever seen a dual output layer in line?

I don't know the application of this because i hve never seen a person applying this meanwhile i often see people saying that it's used un training AI

So complex

bios what for

To call this an "explanation" is like calling a firecracker a rocket that flies you to the moon.

What is the value of A ??

All explanations of AÍ and neural network are very ambiguous and leave more image driven people behind. What is never answered is the nature of the neurons in a neural network. What are they in fact? Functions; concepts; math equations; transistors etc… like, in the brain is easy to picture the nature of neurons as a cell like structure exchanging neurotransmitters, but in the AÍ field it is harder to visualize what they rather than what they do. Maybe I should go ask chatgpt… 😅

Well yeah, but that's missing the point. It's a matrix-vector transform in latent space.

The music, tone and speed of speech, and the timer at the top are not really helping :/

60 seconds is not enough to understand what have been said in 60 seconds 😂

So do I integrate by parts? Or is there a trig identity??? 😂

красивая девушка в современности

im still confused [edit: i understand now}

Get explanation!

please dont include the time, because our brain will focus on the time and the discussion which is not good in your content.

It's helpful but still not totally clear. It would be perfect if there were a simple example, with simple values

😮

Worst thing about this short is that you skipped a few steps...

She sound like Turkish

Or, in one second. it's complicated....

I don't see how you have explained them if you don't discuss backpropagation.

dada

Could not understand anything. Is there any connection with real human body?

Challenge: now try the same in Human language. ;) its harder, right?

xdd

Is this some sort of competition of explaining this concept in 60 sec?. Why do you need a timer?

how learining the english

I wonder what the purpose of such a video is.

Falls short You won’t get deep knowledge in 60 secs by no means sorry

what is this obsession with background music!!!!!! we are watching a tutorial; not watching a hollywood fight scene. stop putting bgm everywhere.

The biggest issue is this is a dumb explanation