LSTM is dead. Long Live Transformers! Published 2019-12-03 Download video MP4 360p Download video MP4 720p Recommendations 58:04 Attention is all you need (Transformer) - Model explanation (including math), Inference and Training 44:26 What are Transformer Models and how do they work? 19:15 Vector Visualization With Semantic Search Demo | Qdrant 44:59 Transfer learning and Transformer models (ML Tech Talks) 20:45 Long Short-Term Memory (LSTM), Clearly Explained 1:56:20 Let's build GPT: from scratch, in code, spelled out. 27:14 But what is a GPT? Visual intro to transformers | Chapter 5, Deep Learning 1:02:50 MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention 36:16 The math behind Attention: Keys, Queries, and Values matrices 30:49 Vision Transformer Basics 1:27:05 Transformer论文逐段精读 1:11:41 Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy 1:22:38 CS480/680 Lecture 19: Attention and Transformer Networks 20:39 AI Language Models & Transformers - Computerphile 1:07:12 Gail Weiss: Thinking Like Transformers 37:03 Something Strange Happens When You Follow Einstein's Math 1:08:06 Deep Learning Basics: Introduction and Overview 36:15 Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!! 19:19 We should use this amazing mechanism that's inside a grasshopper leg 15:01 Illustrated Guide to Transformers Neural Network: A step by step explanation Similar videos 05:34 Attention mechanism: Overview 00:34 Why Transformers over LSTMs? #deeplearning #machinelearning 09:01 CNNs, RNNs, LSTMs, and Transformers 08:19 What is LSTM (Long Short Term Memory)? 11:38 Predicting Stock Prices with LSTMs: One Mistake Everyone Makes (Episode 16) 15:51 Attention for Neural Networks, Clearly Explained!!! 09:48 LSTM Top Mistake In Price Movement Predictions For Trading 05:50 What are Transformers (Machine Learning Model)? 13:05 Transformer Neural Networks - EXPLAINED! (Attention is all you need) 17:51 Sentence Transformers - EXPLAINED! 12:03 Next-frame prediction with Conv-LSTM - Keras Code Examples 06:28 Transformers vs Recurrent Neural Networks (RNN)! 08:24 Neural Transformer Encoders for Timeseries Data in Keras (10.5) More results