How to Build a Simple Neural Network From the Scratch(Step by Step)




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This video explains How to Build a Simple Neural Network in Python(Step by Step) with Jupyter Notebook

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Learn How to create a neural network in Python, a very important concept in Machine Learning and Data Science

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Comment List

  • Kindson The Tech Pro
    January 10, 2021

    the derivative of sigmoid equals to the sigmoid times one minus sigmoid

    ddxσ(x)=σ(x)(1−σ(x))

    in your nonlin fuction

    def nonlin(x, deriv=False):

    if(deriv):

    return (1/(1+np.exp(-x)))*(1-1/(1+np.exp(-x)))

    return 1/(1+np.exp(-x))

    kept your code structure but it's not pythonic, try to keep the functions separate like:

    def sigmoid(x):

    return 1/(1+np.exp(-x))

    def deriv_sigmoid(x):

    return sigmoid(x) * (1 – sigmoid(x))

    also, please review your series, and double check your facts, you have very obvious mistakes that might misguide beginners

    keep it up, you're a good teacher

  • Kindson The Tech Pro
    January 10, 2021

    Hi,what if you dont have the output y, and you want to set it yourself to predict?
    Need help for project.

  • Kindson The Tech Pro
    January 10, 2021

    new subscriber here .. cheers!!!

  • Kindson The Tech Pro
    January 10, 2021

    I did not understand that last part from delta_l1🥺

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