Create a Simple Neural Network in Python from Scratch


[ad_1]

In this video I’ll present you ways a synthetic neural community works, and how one can make one your self in Python. In the subsequent video we’ll make one that’s usable, however if you would like, that code can already be discovered on github. I like to recommend watching at 1.5x pace, except you are coding alongside.

Coding begins at 2:30

Part 2: https://www.youtube.com/watch?v=Py4xvZx-A1E

Github code for full neural community: https://github.com/jonasbostoen/simple-neural-network.py

Additional studying:
https://medium.com/technology-invention-and-more/how-to-build-a-simple-neural-network-in-9-lines-of-python-code-cc8f23647ca1
https://iamtrask.github.io/2015/07/12/basic-python-network/

supply
[ad_2]

Comment List

  • Polycode
    November 9, 2020

    In the next video we’re going to be making a blockchain in JavaScript, so subscribe if you’re interested in that stuff!

  • Polycode
    November 9, 2020

    Very underrated channel..

  • Polycode
    November 9, 2020

    Very clean! VERY NICE! 🙏😍 Great Video! 😊😊😊 thank you

  • Polycode
    November 9, 2020

    finaly free code

  • Polycode
    November 9, 2020

    WHERE IS the bias?

  • Polycode
    November 9, 2020

    SUPERB

  • Polycode
    November 9, 2020

    Man, this was so to the point! Thanks for your efforts. Best NN basics tutorial I've found so far! Very very useful!

  • Polycode
    November 9, 2020

    Why do you need to transpose the arrays?

  • Polycode
    November 9, 2020

    hey, guys, I have a problem when I run the code line 34: the synaptic_weights opreand with shape(3,1) doesn't match the np.dot shape (3,4). could any one help me

  • Polycode
    November 9, 2020

    Pleas show me code system that diagonasis computer faults

  • Polycode
    November 9, 2020

    Hello. What is the name of the compiler you are using to enter the code ?

  • Polycode
    November 9, 2020

    does anyone know where the T comes from on the line with the synaptic weights?

  • Polycode
    November 9, 2020

    Why make computation heavy algorithms in interpreted language like Python? Are you masochist and want to wait years for any resonable size NN to learn something?

  • Polycode
    November 9, 2020

    I quite cannot get what you mean by 3 by 1 matrix in synaptic weights. In the data framework you presented in the beginning there are 4 training examples, but 3 inputs. I don't understand what is the difference between training examples(4) and inputs(3). Thanks beforehand

  • Polycode
    November 9, 2020

    This video is 100% gold, thank you !

  • Polycode
    November 9, 2020

    The derivative of sigmoid u have used was wrong!
    S(x)'=s(x)(1-s(x)) not S(x)'=x(1-x)
    https://math.stackexchange.com/questions/78575/derivative-of-sigmoid-function-sigma-x-frac11e-x

  • Polycode
    November 9, 2020

    ValueError: shapes (4,1) and (3,1) not aligned: 1 (dim 1) != 3 (dim 0). How did you do that dot product? it is not possible

  • Polycode
    November 9, 2020

    you are so cool. how do you learn different things so fast?

  • Polycode
    November 9, 2020

    Excellent explanation!!!!!! Thank you very much

  • Polycode
    November 9, 2020

    Very good explanation, but I did not understand at all the mathematics that performed 3 adjusted weights with a three-input array and three errors

  • Polycode
    November 9, 2020

    Output = array[1[1]].value
    Lol just kidding. This was a great video and I understood a ton

  • Polycode
    November 9, 2020

    1:20 We need a little math. Bruh no pleaseee math anhhhhhhhhh

  • Polycode
    November 9, 2020

    But your derivative is wrong. The derivative of a sigmoid function s(x) is equal to s'(x) = s(x)(1 – s(x)).

  • Polycode
    November 9, 2020

    What does ø mean?

  • Polycode
    November 9, 2020

    thank you

  • Polycode
    November 9, 2020

    I don't really understand anything in this video. When i tried to change anything, i get an error. What should i do?

  • Polycode
    November 9, 2020

    How did you manage to get your updated weights matx to assign as a (3,1) size, when the dot of the input layer and the adjustments is a (3,4) size? I have the exact same code written ( I've checked like 100 times) and this is the error I've gotten every time.

  • Polycode
    November 9, 2020

    Great Stuff, Keep it up !!

  • Polycode
    November 9, 2020

    My friend, your explanation in 15 minutes gave more clarity to me than hours of crash course tutorials online. So simple and well explained. Awesome stuff my man!

  • Polycode
    November 9, 2020

    Please help.. why is it that when I change the 'rule' for outputting a 1 to be all numbers need to be a 1 I get weird outputs like this:

    Outputs:
    [[4.48411213e-07]
    [9.91498793e-01]
    [7.17983933e-03]
    [7.17983933e-03]]

  • Polycode
    November 9, 2020

    It is like your voice is putting your face to sleep. ;-;

  • Polycode
    November 9, 2020

    Can anyone explain what transpose does?

  • Polycode
    November 9, 2020

    9:37
    Why did you write x * (1 – x) as the sigmoid derivative?
    Isn't it sigmoid(x)(1 – sigmoid(x)) ?

  • Polycode
    November 9, 2020

    Goddamn this is good.

  • Polycode
    November 9, 2020

    Thanks for explaining .. Nice job!

  • Polycode
    November 9, 2020

    Nice work! Finally found someone that can teach the way I can understand it..
    I subscribed and look forward to watching all your videos!

  • Polycode
    November 9, 2020

    I keep getting this error. I copied the code verbatim so i don't know what it is.
    "Module 'numpy.random' has no 'random' member"

  • Polycode
    November 9, 2020

    Hi guys, can anyone of tell me where the learning rate fit in the formula that he used?
    I know the synaptic_weights are updated as W -= learning_rate*gradient. but he isn't using a learning rate anywhere, it's a bit confusing for me as most other sources update weights that way. Any help is appreciated, thanks in advance.

  • Polycode
    November 9, 2020

    Am I the only one that does not understand the math?

  • Polycode
    November 9, 2020

    um, arent you just basically generating a formula such that x*w1 + y*w2 + z*w3 = x?
    so wouldn't it obv just eventually just make w1 = 1, w2 = 0, w3 = 0?

  • Polycode
    November 9, 2020

    Why do you transpose the input_layer?

  • Polycode
    November 9, 2020

    How does the sigmoid derivative work? I don;t understand the math behind it.
    Thanks!

  • Polycode
    November 9, 2020

    Hey you can't say new situation output is 1 because first all four scenarios third input is 1. Let's say,
    Input 1 = A
    Input 2 = B
    Input 3 = C
    If the boolean logic is A.C first four output is okay. But new situation should be zero instead of 1.
    (This question is not related to neural networks but I'm little but confused how did you say the output of new situation)

  • Polycode
    November 9, 2020

    How did you specifie the weights ?? Plz explain the logic..

  • Polycode
    November 9, 2020

    this n1gga forgot euler's number in the sigmoid function. smh bruh

  • Polycode
    November 9, 2020

    What's the name of the theme you're using?

  • Polycode
    November 9, 2020

    i woudlve appreciated if your accent was more clear

Write a comment