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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)
    Nonlinear Approximation by Deep ReLU Networks - Ron DeVore, Texas A&M
    The Alan Turing Institute

    Nonlinear Approximation by Deep ReLU Networks - Ron DeVore, Texas A&M

    From Shallow to Deep Learning for Inverse Imaging Problems - Carola-Bibiane Schönlieb, Cambridge
    The Alan Turing Institute

    From Shallow to Deep Learning for Inverse Imaging Problems - Carola-Bibiane Schönlieb, Cambridge

    Inference with Neural Nets
    Alfredo Canziani (冷在)

    Inference with Neural Nets

    Graph Convolutional Networks - GCNs
    Alfredo Canziani (冷在)

    Graph Convolutional Networks - GCNs

    Preprocessing Song Dataset for Melody Generation
    Valerio Velardo - The Sound of AI

    Preprocessing Song Dataset for Melody Generation

    Deep Learning Pipelines for High Energy Physics Using Apache Spark and Distributed Keras
    Databricks

    Deep Learning Pipelines for High Energy Physics Using Apache Spark and Distributed Keras

    Post Install Optimization for User Acquisition - Unite Now 2020
    Unity

    Post Install Optimization for User Acquisition - Unite Now 2020

    TCGA Biomarkers Identification Using Machine Learning - Complete Walkthrough
    LiquidBrain Bioinformatics

    TCGA Biomarkers Identification Using Machine Learning - Complete Walkthrough

    No Substitute for Functionalism
    Models of Consciousness Conferences

    No Substitute for Functionalism

    Deep Learning Day - Advances in Theory, Systems, and Applications
    Association for Computing Machinery (ACM)

    Deep Learning Day - Advances in Theory, Systems, and Applications

    Beyond Lazy Training for Over-parameterized Tensor Decomposition
    Institute for Pure & Applied Mathematics (IPAM)

    Beyond Lazy Training for Over-parameterized Tensor Decomposition

    Neural SDEs, Deep Learning and Stochastic Control
    Fields Institute

    Neural SDEs, Deep Learning and Stochastic Control

    Gunnar Carlsson: Topological Deep Learning
    Applied Algebraic Topology Network

    Gunnar Carlsson: Topological Deep Learning

    Principled Simplicial Neural Networks for Trajectory Prediction
    IEEE Signal Processing Society

    Principled Simplicial Neural Networks for Trajectory Prediction

    TopoAct - Visually Exploring the Shape of Activations in Deep Learning
    Applied Algebraic Topology Network

    TopoAct - Visually Exploring the Shape of Activations in Deep Learning

    Subgraph-Based Networks for Expressive, Efficient, and Domain-Independent Graph Learning
    IEEE Signal Processing Society

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

    Arbitrage-Free Neural-SDE Market Models
    Fields Institute

    Arbitrage-Free Neural-SDE Market Models

    Kubernetes and AI in Cancer Diagnosis and Treatment
    CNCF [Cloud Native Computing Foundation]

    Kubernetes and AI in Cancer Diagnosis and Treatment

    Statistical Physics and Machine Learning - A 30 Year Perspective
    APS Physics

    Statistical Physics and Machine Learning - A 30 Year Perspective

    Open Source Deep Learning Frameworks and Accelerators - 2019 Forum
    Linux Foundation

    Open Source Deep Learning Frameworks and Accelerators - 2019 Forum

    Deep Learning Panel Discussion
    Linux Foundation

    Deep Learning Panel Discussion