Neural Networks from Scratch – P.4 Batches, Layers, and Objects




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Neural Networks from Scratch book: https://nnfs.io

NNFSiX Github: https://github.com/Sentdex/NNfSiX

Playlist for this series: https://www.youtube.com/playlist?list=PLQVvvaa0QuDcjD5BAw2DxE6OF2tius3V3

Neural Networks IN Scratch (the programming language): https://youtu.be/eJ1HdTZAcn4

Python 3 basics: https://pythonprogramming.net/introduction-learn-python-3-tutorials/
Intermediate Python (w/ OOP): https://pythonprogramming.net/introduction-intermediate-python-tutorial/

Mug link for fellow mug aficionados: https://amzn.to/2KFwsWn

Channel membership: https://www.youtube.com/channel/UCfzlCWGWYyIQ0aLC5w48gBQ/join
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#nnfs #python #neuralnetworks

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Comment List

  • sentdex
    November 30, 2020

    But what exactly do the output values mean? Say the inputs are sensor values, what do the outputs mean in terms of the sensor values?

  • sentdex
    November 30, 2020

    HEY EVERYONE I DO THIS AS A PASTIME ACTIVITY INSTEAD OF PASSIVE ENTERTAINMENT!!!!!! AM I NOT A GOOD BOY?????!!!!!!!!!!

  • sentdex
    November 30, 2020

    in the second layer you used output_Layer1 and its new matrix with 3*3 in dot method with weights wich is matrix 4*3 doesnt accept it . but in your video everything was okay and i cofused

  • sentdex
    November 30, 2020

    Are weights in neural network same as weights in linear regression?

  • sentdex
    November 30, 2020

    That's a great way to visualize matrix multiplication!

  • sentdex
    November 30, 2020

    just for sake of comment but frankly speaking, I am speechless for what you are doing… I really Loved your videos. sometimes I didn't even hit like because hurrying for the next video but I had to go back and like them all.
    this is by far the best video tutorial I have ever came across on deep learning. this by itself is an advanced university-level lecture. sorry for calling it Turorial. My deepest and humble respect! stay cool and safe 🙂

  • sentdex
    November 30, 2020

    Thought I knew what batch size was about…. I was completely wrong….I need to think like a neuron! Thanks again Sentdex for yet another great video!

  • sentdex
    November 30, 2020

    Awesome series! As someone not very familiar with OOP… what is the advantage of using Classes instead of functions for the operations of the layer?

  • sentdex
    November 30, 2020

    Thank you! You defently Rock! your videos a nutral gift, for many people!

  • sentdex
    November 30, 2020

    Is there any way to get the next tutorials??
    I'm leaning all this ay my uni and you just summarized a month worth of class into 5 videos!
    Dude please upload more 😉

  • sentdex
    November 30, 2020

    What do you use to create these neat illustrations and animations?

  • sentdex
    November 30, 2020

    Thank you very much sentdex for such a superb explanation..i never found such a great quality of explanation.

  • sentdex
    November 30, 2020

    if you transposed inputs instead of weights it woud have been the same right?

  • sentdex
    November 30, 2020

    Hi there. Just a small question: In this case, the "n_imputs" is created randomly and he is not taking the inputs he typed in the beginning, right?

  • sentdex
    November 30, 2020

    This is the best tutorial ever I watched.. Kudos 👍🙌🙌🙌

  • sentdex
    November 30, 2020

    at 9: 29, in Engineering maths we do a great deal manual matrix product calculations, your explanations refreshes my mind Daniel

  • sentdex
    November 30, 2020

    nice one, running through this tutorial

  • sentdex
    November 30, 2020

    please make playlist – RNN LSTM from scratch

  • sentdex
    November 30, 2020

    Very intersting! I've never used "class" before

  • sentdex
    November 30, 2020

    you're that great you should run for president it's not too late.. thanks for the video 🙂

  • sentdex
    November 30, 2020

    Anyone else getting a “Layer_Dense() takes no arguments” error?

  • sentdex
    November 30, 2020

    Each input can be from a neuron right? So for example when the list was a vector, those four elements values could be seen as an individual neuron from a prior layer. My question is, when you added the batch, does that mean that if we were to visualize this the input layer would have 12 neurons then?

  • sentdex
    November 30, 2020

    I will have to re-watch this few times. Anyway good job!

  • sentdex
    November 30, 2020

    Why do we prefer weights.T over inputs.T ?

  • sentdex
    November 30, 2020

    12:20 .. Come onnnnnnnnn tell us

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