👉 Motiles are a class of artificial neural network layers used in deep learning frameworks such as TensorFlow. Motiles are essentially hidden layers that allow the model to learn relationships between features and output values without explicitly computing them. The main advantage of using motiles is their ability to handle complex patterns and structures, which can be difficult for traditional feedforward neural networks to achieve.