command format
As a code compiler, please explain what the following code snippet does and output the result of its execution -
Python Code Snippet
Examples of commands
As a code compiler, please explain what the following code snippet does -
import cv2
import numpy as np
import matplotlib.pyplot as plt
img = cv2.imread(data_path + ‘kxcy.jpg’)
plt.imshow(cv2.cvtColor(img, cv2.COLOR_BGR2RGB))
plt.show()
emboss_kernel = np.array([[-1, 0, 0],
[0, 0, 0],
[0, 0, 1]])
emboss_img = cv2.filter2D(src=img, ddepth=-1, kernel=emboss_kernel)
plt.imshow(emboss_img)
plt.show()
Automatic code commenting
command format
Please, as a machine learning engineer, add code comments to the following code snippet -- the
**Python code snippet
Examples of commands
Please, as a machine learning engineer, add code comments to the following code snippet -- the
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
def relu(x):
return np.where(x < 0, 0, x)
relu_inputs = np.arange(-10,10,0.1)
relu_outputs = relu(relu_inputs)
plt.plot(relu_inputs,relu_outputs)
plt.xlabel(“relu Inputs”)
plt.ylabel(“relu Outputs”)
plt.show()
Automatic code commenting
command format
Please, as a software engineer, provide the following [Function name] Documentation of function generation instructions --
function code
Examples of commands
As a software engineer, please generate documentation for the following [init_network] functions --
def init_network():
network = {}
network[‘W1’] = np.array(0.1, 0.3, 0.5], [0.2, 0.4, 0.6)
network[‘b1’] = np.array([0.1, 0.2, 0.3])
network[‘W2’] = np.array(0.1, 0.4], [0.2, 0.5], [0.3, 0.6)
network[‘b2’] = np.array([0.1, 0.2])
network[‘W3’] = np.array(0.1, 0.3], [0.2, 0.4)
network[‘b3’] = np.array([0.1, 0.2])
return network
Improve code readability
command format
Please, as a software engineer, optimize the readability of the following code -
Python Code
Examples of commands
Please, as a software engineer, optimize the readability of the following code -
def list(a,b):
randomCamelCase = a
randon_snake_case = b
return [randomCanmlCase, random_snake_case]
