Hey there! I have been working on a Siamese network, and this is my first devlog. A Siamese network is a type of neural network akin to an advanced compression algorithm. It works by converting an image into an abstract list of numbers, known as an embedding. It teaches the network to make these abstract numbers as close as possible for corrupted and uncorrupted versions of the same image, and as different as possible for different images. At the moment, I have just been working on the corruption algorithm, which I have got working. Siamese Networks were some of the earliest neural networks applied to real problems, that of recognising handwritten digits for an ATM.