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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)
    PirateNets - Physics-Informed Deep Learning with Residual Adaptive Networks
    The Alan Turing Institute

    PirateNets - Physics-Informed Deep Learning with Residual Adaptive Networks

    Kalman-Bucy Informed Neural Networks for System Identification
    The Alan Turing Institute

    Kalman-Bucy Informed Neural Networks for System Identification

    Reinforcement Learning and Architectures of Intelligence - Part 1
    Institute for Pure & Applied Mathematics (IPAM)

    Reinforcement Learning and Architectures of Intelligence - Part 1

    The Geometry of the Deep Linear Network - Part 2
    Institute for Mathematical Sciences

    The Geometry of the Deep Linear Network - Part 2

    The Platonic Representation Hypothesis
    MITCBMM

    The Platonic Representation Hypothesis

    Stable Diffusion 3 2B Medium Training with Kohya and SimpleTuner - Full Finetune and LoRA
    kasukanra

    Stable Diffusion 3 2B Medium Training with Kohya and SimpleTuner - Full Finetune and LoRA

    Recent Progress on Grokking and Probabilistic Federated Learning
    VinAI

    Recent Progress on Grokking and Probabilistic Federated Learning

    Neural Network Introspection - Approaches from Machine Learning and Knowledge Representation
    Neuro Symbolic

    Neural Network Introspection - Approaches from Machine Learning and Knowledge Representation

    Introduction to Binarized Neural Networks
    Neuro Symbolic

    Introduction to Binarized Neural Networks

    Machine Learning for Gravitational Wave Astronomy
    Institut Henri Poincaré

    Machine Learning for Gravitational Wave Astronomy

    Cosmology with Graph Neural Networks
    ICTP-SAIFR

    Cosmology with Graph Neural Networks

    Learning Probability Distributions of Neuronal Activity Patterns - Max Entropy Models
    ICTP-SAIFR

    Learning Probability Distributions of Neuronal Activity Patterns - Max Entropy Models

    Mapping Artificial and Natural Intelligence
    ICTP-SAIFR

    Mapping Artificial and Natural Intelligence

    Tensor Network for Machine Learning Applications - Lecture 3
    ICTP Condensed Matter and Statistical Physics

    Tensor Network for Machine Learning Applications - Lecture 3

    Tensor Network for Machine Learning Applications - Part 2
    ICTP Condensed Matter and Statistical Physics

    Tensor Network for Machine Learning Applications - Part 2

    Machine Learning for Quantum Applications - Lecture 3
    ICTP Condensed Matter and Statistical Physics

    Machine Learning for Quantum Applications - Lecture 3

    Nonlinear Dynamics of Neuronal Models with Applications to Bird Song Dynamics - Class 3
    ICTP-SAIFR

    Nonlinear Dynamics of Neuronal Models with Applications to Bird Song Dynamics - Class 3

    Implicit Deep Learning - Seminar Series
    VinAI

    Implicit Deep Learning - Seminar Series

    An Integrated Framework for Controllable Text Generation
    VinAI

    An Integrated Framework for Controllable Text Generation

    Mean Field Limit in Neural Network Learning
    VinAI

    Mean Field Limit in Neural Network Learning

    Benign Overfitting in Linear Regression and Deep Learning
    VinAI

    Benign Overfitting in Linear Regression and Deep Learning