THE TWO-BLOCK KIEU TOC FRAMEWORK

The KIEU TOC Structure is a unique design for implementing deep learning models. It features two distinct blocks: an feature extractor and a output layer. The encoder is responsible for extracting the input data, while the decoder creates the results. This division of tasks allows for improved performance in a variety of applications. Use Cases