Added documentation in the scripts

Author: chawlaj100

Image_Processing/src/cropping/Resizing.py

@@ -1,3 +1,13 @@
+"""
+This is small script used for resizing any image. Resizing is useful whenever we have an image dataset having
+images of different resolutions. Any model would accept a fixed sized image and so we need to resize the image.
+
+OpenCV provides a direct implementation of resizing the image.
+There are 3 arguments in resize()
+1. The image to be resized
+2. The desired width and height in a tuple.
+3. The kind of interpolation. (Choose from AREA, CUBIC, LINEAR, and NEAREST)
+"""
 import cv2
 dimensions = input("Enter width and height : ").split()
 width = int(dimensions[0])

Machine_Learning/src/MNIST_using_CNN/mnist.py

@@ -1,3 +1,12 @@
+"""
+This file describes implementation of a basic CNN made using Tensorflow and trained and tested with MNIST dataset.
+Initially we have all the required dependencies imported.
+
+create_model() describes the CNN architecture used for training a model
+
+plot() is used to plot the images along with their predicted/true labels.
+
+"""
 import numpy as np
 import tensorflow as tf
 import matplotlib.pyplot as plt
@@ -54,5 +63,7 @@ def plot(subset_x, subset_y):
 
 subset_x = x_test[0:10]
 subset_y = y_predictions[0:10]
+
+# Used to plot the predicted labels along with images.
 plot(subset_x, subset_y)