Transformers

DeiT stands for Data-efficient Image Transformers, a model designed for image classification using transformers.

An Encoder Layer processes input data to create a meaningful representation for further tasks in neural networks.

Positional Encoding helps AI models understand the order of words in a sequence.

Pre-LayerNorm is a normalization technique applied before the self-attention mechanism in neural networks.

A Vision Transformer (ViT) is a deep learning model designed for image processing using self-attention mechanisms.