MIT 6.S191 (2023): Robust and Trustworthy Deep Learning Share: Download MP3 Similar Tracks MIT 6.S191 (2023): Reinforcement Learning Alexander Amini MIT Introduction to Deep Learning | 6.S191 Alexander Amini MIT 6.S191: Deep Generative Modeling Alexander Amini MIT 6.S191 (2023): Convolutional Neural Networks Alexander Amini MIT 6.S191 (2023): Deep Generative Modeling Alexander Amini But what is a neural network? | Deep learning chapter 1 3Blue1Brown Transformers (how LLMs work) explained visually | DL5 3Blue1Brown MIT 6.S191: Reinforcement Learning Alexander Amini MIT 6.S191 (2023): Recurrent Neural Networks, Transformers, and Attention Alexander Amini What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata The Royal Institution 1. Introduction and Supply & Demand MIT OpenCourseWare MIT 6.S191: Language Models and New Frontiers Alexander Amini 4. Cognitive Neuroscience Methods I MIT OpenCourseWare MIT Introduction to Deep Learning (2023) | 6.S191 Alexander Amini Think Fast, Talk Smart: Communication Techniques Stanford Graduate School of Business AI, Machine Learning, Deep Learning and Generative AI Explained IBM Technology MIT 6.S191 (2023): Deep Learning New Frontiers Alexander Amini 11. Introduction to Machine Learning MIT OpenCourseWare Stanford CS229 I Machine Learning I Building Large Language Models (LLMs) Stanford Online MIT 6.S191: Evidential Deep Learning and Uncertainty Alexander Amini
