Neural Networks explained in 60 seconds!

Ever wondered how the famous neural networks work? Let's quickly dive into the basics of Neural Networks, in less than 60 seconds!

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#MachineLearning #DeepLearning #neuralnetworks

[Sahil_Antil]

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

[whysomistakes]

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

[AaronProgZ]

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

[jeromystewart]

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.

[jamaka_me_code]

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

[Zethuzzz]

A simplified explanation but extremely good for beginners

[GeneratingAIMusic]

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.

[jaypee]

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

[pierregagne]

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

[kunalsoni]

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

[AntaripHatiboruah]

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"

[wassimcheniti]

awesome explanation and background music 🤘 🤘

[muhammad.hameem]

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

[atomgutan]

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.

[SARbeaver]

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.

[vttfnrw]

thankyou ☺️ please explain more concepts in long form videos

[ignacyjelinek]

Finally someone did it right. THANK YOU!

[SurprisedDivingBoard-vurz]

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.

[beaupridemore]

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.

[KartikSharma-qipi]

Watching this 15 minutes before exam 😭