Transformers in Time-Series Analysis: A Tutorial

Transformer architecture has widespread applications, particularly in Natural Language Processing and computer vision. Recently Transformers have been employed various aspects of time-series analysis. This tutorial provides an overview the architecture, its a collection examples from recent research papers We delve into explanation core components Transformer, including self-attention mechanism, positional encoding, multi-head, encoder/decoder. Several enhancements to initial, are highlighted tackle tasks. The also best practices techniques overcome challenge effectively training for