Positional Encoding in Transformers Explained | Deep Learning скачать в хорошем качестве

Positional Encoding in Transformers Explained | Deep Learning

This video provides a comprehensive and intuition-driven explanation of Positional Encoding in Transformers. We begin by analyzing a fundamental limitation of self attention. We rigorously explore: Why self-attention fails without positional encoding Simple positional strategies and their limitations The design motivation behind sinusoidal encoding Why sine and cosine functions were chosen How sinusoidal encoding encodes relative positional differences This is a complete deep dive — conceptually and mathematically. If you want to truly understand Transformers instead of memorizing formulas, this video is for you. Keywords: positional encoding deep explanation, transformer positional encoding intuition, self attention permutation invariance, sinusoidal encoding relative position, attention mechanism deep learning, NLP transformer tutorial #PositionalEncoding #Transformers #DeepLearning #SelfAttention #MachineLearning