parthvshah

"""
a) Images generated by the microscope

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parthvshah

#include <vector>
#include <set>
#include <unordered_set>
#include <cassert>
#include <iostream>
#include <ctime>
#include <unistd.h>
#include <chrono>
#include <algorithm>
#include <vector>

parthvshah

# cook your dish here
graph = {
    0: [1, 2],
    1: [2],
    2: [0],
    3: [2]
}

# no of nodes
n = 4

parthvshah

CNN

Training and inference phases of neural networks can be analysed individually.

For back propagation or training:

O(n^5) where n is the number of neurons, number of layers and number of iterations.

For forward propagation or inference:

parthvshah

# For a string
# 'youremywholeworld'
a = input()

# For single integer input
# 9
a = int(input())

# For multiple (small) input
# 8 9