👉 Encodes are a type of machine learning algorithm that involves transforming input data so that it can be more easily processed or understood by a neural network. The goal is to convert complex, high-dimensional inputs into simpler, less complex representations called features that can be fed into the neural network's layers.
The process of encoding involves several steps:
1.
Preprocessing
: This step transforms the input data into a format that can be used by the neural network. Common preprocessing techniques include normalizing the input data