Guide to TRANSFORMERS ENCODER-DECODER Neural Network : A Step by Step Intuitive Explanation скачать в хорошем качестве

Guide to TRANSFORMERS ENCODER-DECODER Neural Network : A Step by Step Intuitive Explanation

Transformers are the State of the Art Models nowadays, but how do they work? This video explains and demystifies the novel neural network architecture in an intuitive manner with step by step explanation and illustrations on how transformers work. This video also explains what is the intuition behind using QUERY, KEY and VALUE terminology in Attention Mechanism. Chapters 0:00 Introduction 0:28 High Level Working Overview of Encoder & Decoder 1:34 Encoder - Decoder Flow 3:03 Can we have ONLY encoder or ONLY decoder based architectures? 5:22 The ENCODER Components 6:06 Why Self-Attention? 6:48 How to compute a Self-Attention Mechanism? 9:31 Intuition behind Query, Key and Value Terminology 11:04 Feed-Forward Layer 11:53 Layer Normalization 13:13 Positional Embeddings 14:48 Classification Head 15:41 The Decoder #transformers #datascience #machinelearning #encoder #decoder #neuralnetwork