supervised learning
28 episodes mention this concept
hubermanlabMay 29, 2025The Philosophical and Practical Dimensions of AI: From Self-Supervised Learning to Human-Robot Relationships
TechnologyArtificial Intelligence (AI)Machine Learning (ML)Deep LearningNeural Networks
lexfridmanJan 22, 2022Yann LeCun on Self-Supervised Learning, World Models, and the Dark Matter of Intelligence
TechnologySelf-supervised learning (SSL)Supervised learningReinforcement learningWorld models- hubermanlabJul 19, 2021
The Future of Human-Machine Interaction: AI, Learning, and the Dance with Robots with Dr. Lex Fridman
TechnologyArtificial Intelligence (AI)Machine Learning (ML)Deep LearningNeural Networks - lexfridmanJul 21, 2020
The Underestimated Complexity of Computer Vision, AI, and Autonomous Driving with Jitendra Malik
TechnologyComputer VisionDeep LearningArtificial Intelligence (AI)Human Vision - lexfridmanMay 8, 2020
Ilya Sutskever on the Deep Learning Revolution, AI's Unity, and the Future of Intelligence
TechnologyDeep Learning RevolutionNeural NetworksBackpropagationHessian-free optimizer - lexfridmanFeb 21, 2020
Andrew Ng's Expert Advice on Getting Started and Building a Career in Deep Learning and AI
TechnologyDeep LearningMachine LearningNeural NetworksGradient Descent - lexfridmanDec 28, 2019
Melanie Mitchell on the Nature of Intelligence, Analogy, and the Future of AI
TechnologyArtificial Intelligence (AI)CyberneticsComplex Information ProcessingCognitive Systems - lexfridmanSep 24, 2019
Yann LeCun on AI Benchmarks, Specialized Human Intelligence, and the Misconception of AGI
TechnologyArtificial General Intelligence (AGI)BenchmarksImageNetMNIST - lexfridmanSep 2, 2019
Deep Learning's Inevitable Role in Autonomous Driving: Evolution from Engineering to Learning
TechnologyDeep LearningAutonomous DrivingSupervised LearningModel-based Reinforcement Learning - lexfridmanJan 11, 2019
Deep Learning Basics: Foundations, Progress, and Future Challenges
TechnologyDeep LearningNeural NetworksOptimizationMachine Learning - lexfridmanOct 20, 2018
Yoshua Bengio on Bridging Biological and Artificial Intelligence: Challenges, Learning Paradigms, and Ethical AI
TechnologyBiological Neural NetworksArtificial Neural NetworksCredit AssignmentRecurrent Neural Networks (RNNs) - lexfridmanJan 25, 2018
Deep Reinforcement Learning: From Raw Data to Reasoning and Real-World Action
TechnologyDeep Reinforcement Learning (DRL)Artificial Intelligence (AI) stackEnd-to-end learningSupervised Learning - lexfridmanSep 27, 2016
The Evolution, Architecture, and Impact of Convolutional Neural Networks in Computer Vision
TechnologyDeep LearningComputer VisionNeural NetworksConvolutional Neural Networks (CNNs) - lexfridmanSep 27, 2016
Foundations of Unsupervised Deep Learning: Sparse Coding, Autoencoders, and Generative Models
TechnologyUnsupervised LearningSupervised LearningDeep LearningHierarchical Representations - lexfridmanSep 27, 2016
Deep Reinforcement Learning: Core Methods, Applications, and Policy Gradients
TechnologyDeep Reinforcement Learning (DRL)Reinforcement Learning (RL)Neural NetworksFunction Approximators - lexfridman
The Alexa Prize: Advancing Conversational AI Through Grand Challenges and Real-World User Feedback
TechnologyConversational Artificial Intelligence (AI)Social BotNatural Language AbilitiesPersonality Attributes - lexfridman
Andrew Ng on Deep Learning, Education, Automation, and the Future of AI Development
TechnologyMachine LearningDeep LearningArtificial Intelligence (AI)Automation - lexfridman
MIT 6.S091 Introduction to Deep Reinforcement Learning: Fundamentals, Challenges, and Applications
TechnologyDeep Reinforcement Learning (Deep RL)Deep Neural NetworksSequential DecisionsTrial and Error - lexfridman
MIT 6.S094: Deep Learning Architectures and Semantic Segmentation in Computer Vision
TechnologyComputer VisionDeep LearningNeural NetworksSupervised Learning - lexfridman
Convolutional Neural Networks for End-to-End Learning of the Driving Task: Computer Vision, Image Classification, and Self-Driving Car Automation
TechnologyConvolutional Neural NetworksComputer VisionImage ClassificationSelf-Driving Cars - lexfridman
Deep Learning for Human Sensing in Autonomous Vehicles: Data, Annotation, and Human-Centered AI
TechnologyDeep LearningComputer VisionHuman SensingReal-world Data Collection - lexfridman
Deep Learning for Human-Centered Semi-Autonomous Vehicles: Driver Monitoring and Trust
TechnologyHuman-centered AISemi-autonomous vehiclesFully-autonomous vehiclesDriver monitoring systems - lexfridman
MIT 6.S094: Deep Learning for Self-Driving Cars - Foundations, Challenges, and Human-Centered AI
TechnologyDeep LearningSelf-Driving CarsArtificial Intelligence (AI)Reinforcement Learning - lexfridman
Deep Reinforcement Learning Fundamentals: From Perceptrons to Q-Learning for Motion Planning
TechnologyDeep Reinforcement Learning (DRL)Supervised LearningUnsupervised LearningSemi-supervised Learning - lexfridman
MIT 6.S094: Introduction to Deep Learning, Neural Networks, and Self-Driving Cars
TechnologyDeep LearningDeep Neural NetworksSelf-Driving CarsDeep Reinforcement Learning - lexfridman
MIT AGI: Engineering Intelligence - Bridging Theory, Practice, and Societal Impact
TechnologyArtificial General Intelligence (AGI)Deep LearningReinforcement LearningComputational Cognitive Science - lexfridman
The Business and Philosophy of Machine Learning: Promise, Limitations, and the Quest for General Intelligence
TechnologyMachine LearningArtificial Intelligence (AI)Deep LearningSupervised Learning - lexfridman
Oriol Vinyals on AlphaStar, Deep Reinforcement Learning, and the Evolution of AI in Real-Time Strategy Games
TechnologyDeep LearningReinforcement Learning (RL)AlphaStarStarCraft (Real-Time Strategy game)
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Related concepts
Concepts that appear alongside supervised learning across episodes.
- deep learning
- neural networks
- unsupervised learning
- computer vision
- backpropagation
- reinforcement learning
- artificial intelligence (ai)
- convolutional neural networks (cnns)
- reinforcement learning (rl)
- image classification
- machine learning
- q-learning
- recurrent neural networks (rnns)
- generative adversarial networks (gans)
- gradient descent
- artificial general intelligence (agi)
- natural language processing (nlp)
- value function
- markov decision process (mdp)
- autonomous driving