pair of points, write an algorithm Two points co I 0>2 of f2 and a group G produced by S = s 1, s2,..... Sm operating on a set s = s = 1,2..... n are the inputs. The best invariant partition of f that includes t

Write a Python program for applying CNN with considering the following requirements: Shuffle the cifar 10 training set x_train( each input with corresponding label in y_train ) Select 2500 images and you must ensure that each class must contain at least 180 samples Apply CNN that keeps noisy examples. Overall, the pseudocode of CNN is as follows: The code must contain at least one lambda expression The code must contain at one comprehension list It is Not allowed to use the numpy library. Euclidean distance is the distance between two samples in Euclidean space. The formula can be expressed as: USE THIS CODE  import tensorflowimport cv2from tensorflow import kerasfrom PIL import Imageimport numpy as p (x_train, y_train), (_, _) = tf.keras.datasets.cifar10.load_data() x_train = [cv2.cvtColor(image, cv2.COLOR_BGR2GRAY).flatten().tolist() for image in x_train]##x_train=np.asarray(x_train)print(len(x_train))print(len(x_train[0])) # 32*32 NOTE: PLEAS USE THE CODE I ATTACHED  NOTE 2:…