This notebook discusses a simple implementation of siamese architecture using pytorch.
We will use a simple convolitional model to encode our input image into vectors and calculate the similarity between different encodings to verify users. The task is to learn these embeddinds or vectors from images such that similar images have similar encodings/vectors and vice versa. We will try to learn these embeddings with a simese network architecture as shown in the image below. The
