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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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
Hi，what if you dont have the output y, and you want to set it yourself to predict?
Need help for project.
new subscriber here .. cheers!!!
I did not understand that last part from delta_l1🥺