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    Neural Networks

    2 482 курсов
    Backpropagation
    Capsule Networks
    ControlNet
    Convolutional Neural Networks (CNN)
    Feedforward Neural Networks
    Generative Adversarial Networks (GAN)
    Graph Neural Networks (GNN)
    Multilayer Perceptron
    Multilayer Perceptrons
    Neural Network Architecture
    Recurrent Neural Networks (RNN)
    Variational Autoencoder (VAE)
    Chad Giusti - Topology and Neural Computation
    Applied Algebraic Topology Network

    Chad Giusti - Topology and Neural Computation

    Can Learning Theory Resist Deep Learning? - Francis Bach, INRIA
    Alan Turing Institute

    Can Learning Theory Resist Deep Learning? - Francis Bach, INRIA

    Foundations of Deep Learning and AI: Instabilities, Limitations, and Potential
    Society for Industrial and Applied Mathematics (SIAM)

    Foundations of Deep Learning and AI: Instabilities, Limitations, and Potential

    The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning - Lecture 3
    International Centre for Theoretical Sciences

    The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning - Lecture 3

    The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning - Lecture 2
    International Centre for Theoretical Sciences

    The Unreasonable Effectiveness of Mathematics in Large Scale Deep Learning - Lecture 2

    Uncertainty Quantification with Physics-Informed Machine Learning
    Alan Turing Institute

    Uncertainty Quantification with Physics-Informed Machine Learning

    Promoting Data-Efficiency of Deep Learning for Dynamical Systems
    Alan Turing Institute

    Promoting Data-Efficiency of Deep Learning for Dynamical Systems

    Solving Overparametrized Systems of Nonlinear Equations
    Institute for Pure & Applied Mathematics (IPAM)

    Solving Overparametrized Systems of Nonlinear Equations

    Chance to See Life - Expressing the World Through Probability
    TEDx Talks

    Chance to See Life - Expressing the World Through Probability

    Deep Solver for Jumps in Backward Stochastic Differential Equations - Lecture
    Society for Industrial and Applied Mathematics (SIAM)

    Deep Solver for Jumps in Backward Stochastic Differential Equations - Lecture

    Essential Matrix Algebra for Neural Networks
    StatQuest with Josh Starmer

    Essential Matrix Algebra for Neural Networks

    Numerical Analysis for Cervical Cancer Using Stochastic Levenberg-Marquardt Backpropagated Technique
    Fields Institute

    Numerical Analysis for Cervical Cancer Using Stochastic Levenberg-Marquardt Backpropagated Technique

    Nonlinear Dynamics of Neuronal Models with Applications to Bird Song Dynamics - Class 2
    ICTP-SAIFR

    Nonlinear Dynamics of Neuronal Models with Applications to Bird Song Dynamics - Class 2

    Poseidon: Efficient Foundation Models for PDEs - Tutorial 1
    MICDE University of Michigan

    Poseidon: Efficient Foundation Models for PDEs - Tutorial 1

    Learn One Size to Infer All: Exploiting Symmetries in Dynamical Systems Using Scalable Neural Networks
    Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC)

    Learn One Size to Infer All: Exploiting Symmetries in Dynamical Systems Using Scalable Neural Networks

    Uncertainty Quantification and Deep Learning for Water-Hazard Prediction
    Inside Livermore Lab

    Uncertainty Quantification and Deep Learning for Water-Hazard Prediction

    PDEs for Neural Assemblies - Analysis, Simulations, and Behavior
    Institute for Mathematical Sciences

    PDEs for Neural Assemblies - Analysis, Simulations, and Behavior

    Graphs of Random Matrices in Deep Learning
    Fields Institute

    Graphs of Random Matrices in Deep Learning

    SL(2, Z)-Equivariant Machine Learning with Modular Forms - Theory and Applications
    Conference GSI

    SL(2, Z)-Equivariant Machine Learning with Modular Forms - Theory and Applications

    From Materials to Minds: Nonlocal Approaches to Damage and Degeneration
    Institute for Pure & Applied Mathematics (IPAM)

    From Materials to Minds: Nonlocal Approaches to Damage and Degeneration

    Subgraph-Based Networks for Expressive, Efficient, and Domain-Independent Graph Learning
    Centre International de Rencontres Mathématiques

    Subgraph-Based Networks for Expressive, Efficient, and Domain-Independent Graph Learning