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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)
    Anatomy of a Software 3.0 Company - AI in Production Keynote
    MLOps.community

    Anatomy of a Software 3.0 Company - AI in Production Keynote

    Seeing Like a Language Model - Understanding Embeddings and Meaning in AI
    MLOps.community

    Seeing Like a Language Model - Understanding Embeddings and Meaning in AI

    From Data-Aggregative Learning to Cognitive Knowledge Learning
    SAIConference

    From Data-Aggregative Learning to Cognitive Knowledge Learning

    Geometric Algebra Transformers: Revolutionizing Geometric Data
    SAIConference

    Geometric Algebra Transformers: Revolutionizing Geometric Data

    Cooperative Data-driven Modeling: Addressing Catastrophic Forgetting in Neural Networks
    MICDE University of Michigan

    Cooperative Data-driven Modeling: Addressing Catastrophic Forgetting in Neural Networks

    Programming Novel AI Accelerators for Scientific Computing - Part 2 - Tutorial 5
    MICDE University of Michigan

    Programming Novel AI Accelerators for Scientific Computing - Part 2 - Tutorial 5

    SambaNova DataScale SN30 and Platform Architecture - Tutorial 5
    MICDE University of Michigan

    SambaNova DataScale SN30 and Platform Architecture - Tutorial 5

    Programming Novel AI Accelerators for Scientific Computing - Part 1 - Tutorial 5
    MICDE University of Michigan

    Programming Novel AI Accelerators for Scientific Computing - Part 1 - Tutorial 5

    Groq Tutorial - Part 5
    MICDE University of Michigan

    Groq Tutorial - Part 5

    Example Memorization in Learning: Batch and Streaming - Differential Privacy for ML
    Google TechTalks

    Example Memorization in Learning: Batch and Streaming - Differential Privacy for ML

    Fast Neural Kernel Embeddings for General Activations
    Google TechTalks

    Fast Neural Kernel Embeddings for General Activations

    Representational Strengths and Limitations of Transformers
    Google TechTalks

    Representational Strengths and Limitations of Transformers

    Kolmogorov-Arnold Networks - Alternatives to Multi-Layer Perceptrons
    Google TechTalks

    Kolmogorov-Arnold Networks - Alternatives to Multi-Layer Perceptrons

    Mixing Precisions in Numerical Algorithms - HPC Perspective with Modern Hardware Context
    NHR@FAU

    Mixing Precisions in Numerical Algorithms - HPC Perspective with Modern Hardware Context

    Foundations for Feature Learning via Gradient Descent
    USC Probability and Statistics Seminar

    Foundations for Feature Learning via Gradient Descent

    Are Neural Networks Optimal Approximation Algorithms for Constraint Satisfaction Problems?
    USC Probability and Statistics Seminar

    Are Neural Networks Optimal Approximation Algorithms for Constraint Satisfaction Problems?

    History of Language Models: Evolution, Frameworks, and Deployment
    DevConf

    History of Language Models: Evolution, Frameworks, and Deployment

    Overview of Image Segmentation with AI
    DevConf

    Overview of Image Segmentation with AI

    Learning Sparse Boolean Functions: Neural Networks Need a Hierarchical Degree Chain
    NCCR SwissMAP

    Learning Sparse Boolean Functions: Neural Networks Need a Hierarchical Degree Chain

    Calibrating Question Answering Systems with Quantum Neural Networks
    ICTP-SAIFR

    Calibrating Question Answering Systems with Quantum Neural Networks

    Plasticity: An Incredible Brain Capacity
    ICTP-SAIFR

    Plasticity: An Incredible Brain Capacity