What is the output of encoder?

The output of an encoder is a transformed representation of the input data, typically in a reduced dimensionality or a different format that captures essential features. In the context of neural networks, it produces a latent vector or embedding that summarizes the information from the input while retaining its most important characteristics. This output is often used for tasks such as classification, generation, or further processing in a decoder or subsequent model layers.