👉 Splanchnographical refers to a type of neural network architecture that is designed specifically for the purpose of visual perception. It consists of two main components: the encoder and the decoder, both of which are composed of convolutional layers. The encoder is responsible for converting raw inputs into higher-level representations, while the decoder takes these representations back to their original format. Splanchnographical networks are particularly well-suited for tasks such as object detection, semantic segmentation, and image captioning. They can be
