Coding exercise

In this section, we will learn about the implementation of Siamese networks and matching networks.

Let's begin with Siamese networks.

Siamese networks – the MNIST dataset

In this tutorial, we will do the following things in the order listed here:

1. Data preprocessing: Creating pairs
2. Creating a Siamese network architecture
3. Training it using the small MNIST dataset
4. Visualizing the embeddings

Perform the following steps to carry out the exercise:

1. First, import all the libraries needed using the following code:

# -*- encoding: utf-8 -*-
import argparse
import torch
import torchvision.datasets as dsets
import random
import numpy as np
import time
import matplotlib.pyplot as plt
from torch.autograd import Variable...