A friendly introduction to deep reinforcement learning, Q-networks and policy gradients Share: Download MP3 Similar Tracks A friendly introduction to Recurrent Neural Networks Serrano.Academy MIT 6.S191: Reinforcement Learning Alexander Amini A Friendly Introduction to Generative Adversarial Networks (GANs) Serrano.Academy Proximal Policy Optimization (PPO) - How to train Large Language Models Serrano.Academy Model Based Reinforcement Learning: Policy Iteration, Value Iteration, and Dynamic Programming Steve Brunton But what is a neural network? | Deep learning chapter 1 3Blue1Brown Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning Steve Brunton An introduction to Policy Gradient methods - Deep Reinforcement Learning Arxiv Insights A friendly introduction to Deep Learning and Neural Networks Serrano.Academy MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL) Lex Fridman A friendly introduction to Convolutional Neural Networks and Image Recognition Serrano.Academy Neural Networks from Scratch - P.2 Coding a Layer sentdex Transformers (how LLMs work) explained visually | DL5 3Blue1Brown Reinforcement Learning Series: Overview of Methods Steve Brunton 11. Introduction to Machine Learning MIT OpenCourseWare Direct Preference Optimization (DPO) - How to fine-tune LLMs directly without reinforcement learning Serrano.Academy What is Q-Learning (back to basics) Yannic Kilcher The Essential Main Ideas of Neural Networks StatQuest with Josh Starmer Reinforcement Learning from scratch Graphics in 5 Minutes MIT Introduction to Deep Learning | 6.S191 Alexander Amini
