Neural Network Projects with Python

Siamese neural networks

So far, we have seen that a pure CNN and a pure Euclidean distance approach would not work well for facial recognition. However, we don't have to discard them entirely. Each of them provides something useful for us. Can we combine them together to form something better?

Intuitively, humans recognize faces by comparing their key features. For example, humans use features such as the shape of the eyes, the thickness of the eyebrows, the size of the nose, the overall shape of the face, and so on to recognize a person. This ability comes naturally to us, and we are seldom affected by variations in angles and lighting. Could we somehow teach a neural network to identify these features from images of faces, before using ...