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    Neural Networks

    2 482 курсов
    3D Scenes - Understanding and Rendering
    VinAI

    3D Scenes - Understanding and Rendering

    Towards Biologically Plausible Intelligence
    Georgia Tech Research

    Towards Biologically Plausible Intelligence

    Efficiency in the Age of Large Scale Models - Designing and Optimizing Deep Learning Systems
    HUJI Machine Learning Club

    Efficiency in the Age of Large Scale Models - Designing and Optimizing Deep Learning Systems

    Towards Reverse Algorithmic Engineering of Neural Networks
    HUJI Machine Learning Club

    Towards Reverse Algorithmic Engineering of Neural Networks

    Implications of Implicit Bias in ReLU Networks - Understanding Generalization and Robustness
    HUJI Machine Learning Club

    Implications of Implicit Bias in ReLU Networks - Understanding Generalization and Robustness

    Empirical Challenges to Theories of Deep Learning
    HUJI Machine Learning Club

    Empirical Challenges to Theories of Deep Learning

    Benefits of Deep and Narrow Neural Networks for Approximation and Memorization
    HUJI Machine Learning Club

    Benefits of Deep and Narrow Neural Networks for Approximation and Memorization

    Federated Learning for Medical Image Analysis - Seminar 89
    Federated Learning One World Seminar

    Federated Learning for Medical Image Analysis - Seminar 89

    ASTRA-sim and Chakra - Co-design Exploration for Distributed Machine Learning Platforms
    HOTI - Hot Interconnects Symposium

    ASTRA-sim and Chakra - Co-design Exploration for Distributed Machine Learning Platforms

    Understanding ChatGPT: From Machine Learning to Language Models
    John Savill's Technical Training

    Understanding ChatGPT: From Machine Learning to Language Models

    Quantization for Efficient Machine Learning - Part I - Lecture 5
    MIT HAN Lab

    Quantization for Efficient Machine Learning - Part I - Lecture 5

    EfficientML.ai - Quantization Part I - Lecture 5
    MIT HAN Lab

    EfficientML.ai - Quantization Part I - Lecture 5

    EfficientML.ai Lecture - Introduction to Efficient Machine Learning
    MIT HAN Lab

    EfficientML.ai Lecture - Introduction to Efficient Machine Learning

    Pruning and Sparsity in Machine Learning - Part II (EfficientML.ai Lecture 4)
    MIT HAN Lab

    Pruning and Sparsity in Machine Learning - Part II (EfficientML.ai Lecture 4)

    Basics of Neural Networks - EfficientML.ai Lecture 2
    MIT HAN Lab

    Basics of Neural Networks - EfficientML.ai Lecture 2

    EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1
    MIT HAN Lab

    EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

    EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1
    MIT HAN Lab

    EfficientML.ai: Introduction to Efficient Machine Learning - Lecture 1

    Efficient Transformers - Lecture 20
    MIT HAN Lab

    Efficient Transformers - Lecture 20

    Efficient Transformers - Lecture 20
    MIT HAN Lab

    Efficient Transformers - Lecture 20

    TinyEngine - Efficient Training and Inference on Microcontrollers - Lecture 17
    MIT HAN Lab

    TinyEngine - Efficient Training and Inference on Microcontrollers - Lecture 17

    Scaling Up Machine Learning Without Tears - Programming Languages' Role
    ACM SIGPLAN

    Scaling Up Machine Learning Without Tears - Programming Languages' Role