
In sigmoid neuron plot what is the function of the angles in ‘ax.view_int()’ as we change angles,the plot changes but i cant figure out what is happening in the plot and how to efficiently use the angles to see the minimum loss in the plot.

While computing the loss of a given dataset, i didn’t understand the meaning of steps taken as follows:
ij= np.argmin(Loss)
i= int(np.floor(ij/Loss.shape[1])
j= int(iji*Loss.shape[1] 
In the class for sigmoid neuron, wht is the function of epochs,learning rate.
while plotting the dataset,we have to constantly change these for better training of the data but i dont know what these attributes do precisely so i am having difficulty plotting these.kindly tech me how to use them and how to narrow the band(yellow line ) for the separation of the negative and positive points .
sir has taught these models in a hurry and i have not understood them clearly,kindly provide me some sources from where i can clear my concepts of deep learning.