@9954953559 wrote:
1 hidden layer and the nodes (n_x,n_h,n_y) = [10,16,1]
i have initialized b2 = np.zeros ((1,1)) ,
and in backward propagation db2 = 1/m*np.sum(dz2,axis =1 )
in upadate parameters b2 = b2-learning_rate*db2
so when i run these codes error shown: Data must be 1-dimensional
error is at b2 update parameter
how to solve it??
n_x = input feature
n_y = output
n_h = hidden laye nodes
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