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    Neural Networks

    2 482 курсов
    Build Your First PyTorch Model - Image Classification Tutorial
    Rob Mulla

    Build Your First PyTorch Model - Image Classification Tutorial

    Machine Learning and Side-Channel Analysis - Part 2
    TheIACR

    Machine Learning and Side-Channel Analysis - Part 2

    Creating Hidden AI Art with Stable Diffusion - QR Codes and Deep Object Placement
    Vladimir Chopine [GeekatPlay]

    Creating Hidden AI Art with Stable Diffusion - QR Codes and Deep Object Placement

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 9
    International Centre for Theoretical Sciences

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 9

    Differentiable Programming for End-to-End Optimization of Experiments - Lecture 7
    International Centre for Theoretical Sciences

    Differentiable Programming for End-to-End Optimization of Experiments - Lecture 7

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 4
    International Centre for Theoretical Sciences

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 4

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 2
    International Centre for Theoretical Sciences

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 2

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 1
    International Centre for Theoretical Sciences

    Deepsets, Graph Neural Networks, and Transformers in Machine Learning - Lecture 1

    The Summit of Safety, Classroom Cheatbots and Ladybird Subterfuge
    Alan Turing Institute

    The Summit of Safety, Classroom Cheatbots and Ladybird Subterfuge

    The Coding Crisis - Addressing Software Quality in the AI Era
    TEDx

    The Coding Crisis - Addressing Software Quality in the AI Era

    Machine Learning for LHC Theory - Lecture 2
    International Centre for Theoretical Sciences

    Machine Learning for LHC Theory - Lecture 2

    The Future of Generative AI - Possibilities and Challenges
    The Royal Institution

    The Future of Generative AI - Possibilities and Challenges

    NeurIPS 2023 Research Highlights - Poster Session 2
    Yannic Kilcher

    NeurIPS 2023 Research Highlights - Poster Session 2

    CNN Confusion Matrix with PyTorch - Neural Network Programming
    deeplizard

    CNN Confusion Matrix with PyTorch - Neural Network Programming

    CNN Weights - Learnable Parameters in PyTorch Neural Networks
    deeplizard

    CNN Weights - Learnable Parameters in PyTorch Neural Networks

    Build PyTorch CNN - Object-Oriented Neural Networks
    deeplizard

    Build PyTorch CNN - Object-Oriented Neural Networks

    Deep Learning Neural Network Acceleration at the Edge
    Linux Foundation

    Deep Learning Neural Network Acceleration at the Edge

    Randomized Embeddings and Neural Networks
    Simons Institute

    Randomized Embeddings and Neural Networks

    On Quantum Backpropagation and Information Reuse - IPAM at UCLA
    Institute for Pure & Applied Mathematics (IPAM)

    On Quantum Backpropagation and Information Reuse - IPAM at UCLA

    The Rise of Tractable Circuits - From Cryptography to Continuous Generative Models
    Simons Institute

    The Rise of Tractable Circuits - From Cryptography to Continuous Generative Models

    Language and Video-Generative AI in Autonomous Driving - Guest Lecture by Wayve
    Lennart Svensson

    Language and Video-Generative AI in Autonomous Driving - Guest Lecture by Wayve