Neural Networks Explained – Machine Learning Tutorial for Beginners




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If you know nothing about how a neural network works, this is the video for you! I’ve worked for weeks to find ways to explain this in a way that is easy to understand for beginners.

Past Videos:
Intro to Machine Learning with Javascript:
https://www.youtube.com/watch?v=9Hz3P1VgLz4&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=2&t=0s

Machine Learning 2 – Building a Recommendation Engine:
https://www.youtube.com/watch?v=lvzekeBQsSo&list=PLoYCgNOIyGABWLy_XoLSxTVRe2bltV8GM&index=3&t=0s

Machine learning and neural networks are awesome. This video provides beginners with an easy tutorial explaining how a neural network works – what math is involved, and a step by step explanation of how the data moves through the network.

The example used will be a feed forward neural network with back propagation. It explains the difference between linear and non linear data, the importance of the activation function, learning rate, and momentum configurations.

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Also watch: “Responsive Design Tutorial – Tips for making web sites look great on any device”
https://www.youtube.com/watch?v=fgOO9YUFlGI
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Comment List

  • LearnCode.academy
    November 25, 2020

    the bias value is common for each hidden layer. its not like for each neuron in the hidden layer will have different bias value ….. Pl correct me if am wwrong

  • LearnCode.academy
    November 25, 2020

    Wow…this amazing..
    I better understood this after reading this blog…
    https://martian07.github.io/intuitiveAI/car_ai.html

  • LearnCode.academy
    November 25, 2020

    Omg, you actually made me giggle with your explanations. I little bit confusing especially about back propagation. But, still very useful, thank you!

  • LearnCode.academy
    November 25, 2020

    what is whosit and whatsit

  • LearnCode.academy
    November 25, 2020

    o.O

  • LearnCode.academy
    November 25, 2020

    I have just realized, that since ours brains are neuronal networks, this video trains neuronal networks how to train neuronal networks.

  • LearnCode.academy
    November 25, 2020

    Finally the video I was searching for , u r tooo good.

  • LearnCode.academy
    November 25, 2020

    Close to the end of video it became too simplistic. I think what to do with activation function is not explained very clear.

  • LearnCode.academy
    November 25, 2020

    no like because you speak a lot but don't say nothing ( 307 no likes)

  • LearnCode.academy
    November 25, 2020

    👎 i prefer this one to be better https://www.youtube.com/c/giantneuralnetwork

  • LearnCode.academy
    November 25, 2020

    Mouse used can be bigger and contrast to the screen. So what happens is something not able to follow the mouse when you explain. Thanks

  • LearnCode.academy
    November 25, 2020

    I wonder if we will ever be able to find the activation function and the hidden layer structure which our brains use to build better neural networks.

  • LearnCode.academy
    November 25, 2020

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  • LearnCode.academy
    November 25, 2020

    You sound like Coffee Break.

  • LearnCode.academy
    November 25, 2020

    Great explanation but the whosit whatsit was a little confusing for me.

  • LearnCode.academy
    November 25, 2020

    This video + video below this text = Greater understanding and amazing explanation of Neural Networks.

    https://www.youtube.com/watch?v=aircAruvnKk

  • LearnCode.academy
    November 25, 2020

    WFT is a whosit and whatsit? You just confused me more!! 🙂

  • LearnCode.academy
    November 25, 2020

    there is something i want to know, after that the learning is complete and we have an error lvl that is very low, lets say 1 in a million and there pops an error on the output how do we include that bias and we have already stopped learning, what i am saying might not be clear but what if the error is crucial and so far it is seeming to be impossible to have an error 0 lvl and the data that is in play is endless do we have to compare the human error rate to our network and move on or what do we do next?. i am starting to learn neural network and i want an answer if it is possible. also if we implement this on a real case that is out there like a self flying jet that has an endless play of nodes, is the simulation of this case or any other considered to be credible in terrms of laws and ect

  • LearnCode.academy
    November 25, 2020

    At 10:30, what is delta? He says it's the "difference", but the difference of what?

  • LearnCode.academy
    November 25, 2020

    this kid is so loud

  • LearnCode.academy
    November 25, 2020

    if you want some extra help go to 3blue1brown's series on neural networks. He explains how it works first then gets into the complex math later.

  • LearnCode.academy
    November 25, 2020

    So a black box is sort of like a PID controller

  • LearnCode.academy
    November 25, 2020

    If you watch this video a few times, it'll help you!!
    Lmao….
    Thank you for the explanation! Finally something i can easily understand

  • LearnCode.academy
    November 25, 2020

    Thanks a lot…

  • LearnCode.academy
    November 25, 2020

    What is a Whatsit and Whosit? Why not use some example that makes sense… This AI stuff is really frustrating… Thanks for trying though…

  • LearnCode.academy
    November 25, 2020

    No clear explanation of the activation function and which one is chosen.

  • LearnCode.academy
    November 25, 2020

    During back propagation, are all the weights and biases adjusted at the same time, of is it one at time, recalc; then the next one, etc. ?

  • LearnCode.academy
    November 25, 2020

    so … we have data of fur color and weight of some ANIMALS … and these animals are not dogs , cats , elephants or lions … but "whosits" or "whatsits" ? are these endangered species ? I never heard of such strange animals in my life ! choosing right names in programming is essential . you can't be a programmer if you use a name like a or b instead of PriceOfGasGallon or something . you just can't . in lights of this facts , I must ask you : your animals are really whosits and whatsits and for that you did weeks of research like you said ?

  • LearnCode.academy
    November 25, 2020

    Should the input weights be converted to a value between 0-1 first?

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