Complete Transformers For NLP Deep Learning One Shot With Handwritten Notes

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The Transformer neural network is a powerful deep learning model that was introduced in a landmark paper titled "attention is all you need" by Vaswani et al. in 2017. It revolutionized the field of natural language processing (NLP) and has since found applications in various other domains. Handwritten Materials : https://github.com/krishnaik06/Transformers-Materials Timestamp 00:00:00 Introduction 00:04:07 What And Why Transformers 00:22:21 Basic Architecture Of Transformers 00:36:29 Self Attention Architecture 01:38:32 Multi Head Attention 01:48:46 Feed Forward With Multi Head Attention 01:57:24 Possition Encoding 02:27:27 Layer Normalization In Transformers 03:01:03 Complete Encoder Architecture 03:23:09 Layer Normalization Example 03:30:56 Decoder Plan Of Action 03:39:23 Decoder MAsked Attention head 04:32:36 Encoder And decoder Multi Head Attention 04:47:00 Linear And Softmax Layer ------------------------------------------------------------------------------------------- Check out all my udemy courses below ,the coupon code is valid for another 2 days more, this is the last coupon of the month. New Course Launched Complete MLOps Bootcamp With 10+ End To End ML Projects https://bit.ly/3Uf77Xj Complete Python With DSA Bootcamp + LEETCODE Exercises: https://bit.ly/3YvwBm0 Mathematics-Basics to Advanced for Data Science And GenAI : https://bit.ly/3YqF1e1 Complete Data Analyst Bootcamp From Basics To Advanced https://bit.ly/3Ybg4SF Complete Machine Learning NLP Bootcamp MLOPS And Deployment: https://bit.ly/3YbbJid Complete Generative AI Course With Langchain and Huggingface: https://bit.ly/3Yvx4EM Building GEN AI App 12+ Hands On Projects With Gemini Pro: https://bit.ly/4eJtmNt Interested In UI UX Design Mastering Figma from 0 to 100 (UI/UX Mastery Course) https://bit.ly/4h7SPla