Sigmoid Neuron fit error

class SigmoidNeuron:

def __init__(self):

self.w =None

self.b =None

def perceptron(self,x):

return np.dot(x,self.w.T)+self.b

def sigmoid(self,x):

return 1.0/(1.0+np.exp(-x))

def grad_w(self,x,y): # as per the calculation we derived

y\_pred = self.sigmoid(self.perceptron(x))

return (y\_pred-y)\*y\_pred\*(1-y\_pred)\*x

def grad_b(self,x,y): # as per the calculation we derived

y\_pred = self.sigmoid(self.perceptron(x))

return (y\_pred-y)\*y\_pred\*(1-y\_pred)

def fit(self,X,Y,epochs=1,learning_rate =1,initialize =True):

#initialize w and b

if initialize :

  self.w = np.random.randn(1,X.shape\[1\])

  self.b =0

for i in range(epochs):

  dw =0

  db =0

  for x,y in zip(X,Y):

    dw+=self.grad\_w(x,y)

    db+=self.grad\_b(w,y)

  self.w -= learning\_rate\*dw

  self.b -= learning\_rate\*db

X= np.asarray([[2.5,2.5],[4,-1],[1,-4],[3,1.25],[2,4],[1,5]])

Y=[1,1,1,0,0,0]

sn =SigmoidNeuron()

sn.fit(X,Y,1,0.25,True)

ValueError: shapes (100,) and (2,1) not aligned: 100 (dim 0) != 2 (dim 0)

From where I am getting this 100

Provide atleast the screenshot of error (it will point out the code line throwing error)

Or, better, a link to your code if its on colab.

I dont know from where this 100, is coming. No where I declared a vector/matrix with the same row/column

Can you make the link public? Access needs permission right now.

Thank you all for your support.

The problem got rectified.