EasiestCNN_1.py

import numpy as np

# what is convolution? How to capture the edge by padding? 
array = np.array([0, 0, 0, 0, 0, 1, 1, 1, 1, 1])
kernel = np.array([-1, 1])

conv = np.array([0, 0, 0, 0, 0, 0, 0, 0])

# convolution
conv[1] = (kernel * array[0:2]).sum()
conv[2] = (kernel * array[1:3]).sum()
conv[3] = (kernel * array[2:4]).sum()

# padding
for i in range(len(conv)):
    conv[i] = (kernel * array[i:i+2]).sum()

print(conv)

# another example
array_2 = np.array([0, 0, 1, 1, 0, 0, 1, 1, 0, 0])
conv_2 = np.array([0, 0, 0, 0, 0, 0, 0, 0])

for i in range(len(conv_2)):
    conv_2[i] = (kernel * array_2[i:i+2]).sum()

print(conv_2)