Plot the landscape of the loss function. For example, the following code will print the landscape of Z[i][j]. Z is the loss function

value of different ww and bb values.

X_data and y_data are the arrays of your samples.

e.g.bb = np.arange(0,100,1) #bias

ww = np.arange(-5, 5,0.1) #weight

Z = np.zeros((len(bb),len(ww)))

for i in range(len(bb)):

for j in range(len(ww)): b = bb[i]

w = ww[j] Z[j][i] = 0 for n in range(len(x_data)):

Z[j][i] = ...

Z[j][i] = ...