MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention Share: Download MP3 Similar Tracks MIT 6.S191 (2023): Convolutional Neural Networks Alexander Amini Apr 30, 2025, Hannes Bernien [University of Chicago] Q-FARM Stanford How might LLMs store facts | DL7 3Blue1Brown MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention Alexander Amini 1. Introduction to 'The Society of Mind' MIT OpenCourseWare MIT Introduction to Deep Learning (2023) | 6.S191 Alexander Amini MIT 6.S191 (2024): Recurrent Neural Networks, Transformers, and Attention Alexander Amini MIT 6.S191 (Microsoft): AI for Biology Alexander Amini MIT Introduction to Deep Learning | 6.S191 Alexander Amini The spelled-out intro to neural networks and backpropagation: building micrograd Andrej Karpathy MIT 6.S191: Convolutional Neural Networks Alexander Amini Attention in transformers, step-by-step | DL6 3Blue1Brown Attention is all you need (Transformer) - Model explanation (including math), Inference and Training Umar Jamil Understanding GANs (Generative Adversarial Networks) | Deep Learning DeepBean MIT 6.S191: Deep Generative Modeling Alexander Amini An Introduction to Graph Neural Networks: Models and Applications Microsoft Research Lecture 13: Attention Michigan Online Understanding AI from Scratch – Neural Networks Course freeCodeCamp.org Introduction to Generative AI Google Cloud Tech How Deep Neural Networks Work - Full Course for Beginners freeCodeCamp.org