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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)
    Generative AI Based on Transformer Neural Networks - Fundamentals, Implications and Trends
    Stanford Otolaryngology — Head & Neck Surgery

    Generative AI Based on Transformer Neural Networks - Fundamentals, Implications and Trends

    The Myth of AI Breakthroughs - Cutting Through Hype in Neural Network Research
    MLOps.community

    The Myth of AI Breakthroughs - Cutting Through Hype in Neural Network Research

    The Art and Science of Training Large Language Models
    MLOps.community

    The Art and Science of Training Large Language Models

    Hippocampal Memory, Cognition, and the Role of Sleep - Part 2
    MITCBMM

    Hippocampal Memory, Cognition, and the Role of Sleep - Part 2

    Machine-Learning Enabled Imaging: From Microscopy to Medical Imaging to Astronomy - Kirk Lecture
    Isaac Newton Institute for Mathematical Sciences

    Machine-Learning Enabled Imaging: From Microscopy to Medical Imaging to Astronomy - Kirk Lecture

    Introduction to Artificial Intelligence - Neural Networks - Lecture 18
    Dave Churchill

    Introduction to Artificial Intelligence - Neural Networks - Lecture 18

    Introduction to Artificial Intelligence: Neural Networks - Lecture 19
    Dave Churchill

    Introduction to Artificial Intelligence: Neural Networks - Lecture 19

    Intro to Artificial Intelligence - Deep Neural Networks - Lecture 20
    Dave Churchill

    Intro to Artificial Intelligence - Deep Neural Networks - Lecture 20

    Introduction to Artificial Intelligence: Neural Networks - Lecture 20
    Dave Churchill

    Introduction to Artificial Intelligence: Neural Networks - Lecture 20

    Random Matrices and Dynamics of Optimization in Very High Dimensions - Lecture 3
    Institut des Hautes Etudes Scientifiques (IHES)

    Random Matrices and Dynamics of Optimization in Very High Dimensions - Lecture 3

    Random Matrices and Dynamics of Optimization in Very High Dimensions - Lecture 4
    Institut des Hautes Etudes Scientifiques (IHES)

    Random Matrices and Dynamics of Optimization in Very High Dimensions - Lecture 4

    Understanding and Mitigating Loss of Control in AI Systems
    Finnish Center for Artificial Intelligence FCAI

    Understanding and Mitigating Loss of Control in AI Systems

    Capturing Computation with Algorithmic Alignment
    Scalable Parallel Computing Lab, SPCL @ ETH Zurich

    Capturing Computation with Algorithmic Alignment

    Building Normalizing Flows with Stochastic Interpolants
    Generative Memory Lab

    Building Normalizing Flows with Stochastic Interpolants

    Reflected Diffusion Models
    Generative Memory Lab

    Reflected Diffusion Models

    CS 201: Introduction to Natural Language Processing - Lecture 11/17/2022
    UCLA Computer Science

    CS 201: Introduction to Natural Language Processing - Lecture 11/17/2022

    CS 201 - April 13 2023
    UCLA Computer Science

    CS 201 - April 13 2023

    Tractable Probabilistic Circuits - Seminar Series
    VinAI

    Tractable Probabilistic Circuits - Seminar Series

    Annotation-Efficient Object Detection: Unsupervised Discovery to Active Learning
    VinAI

    Annotation-Efficient Object Detection: Unsupervised Discovery to Active Learning

    Deep Generative Models - Lectures 2 and 3
    Probabilistic AI School

    Deep Generative Models - Lectures 2 and 3

    The Elusive Generalization and Easy Optimization in Machine Learning - Part 1
    Institute for Pure & Applied Mathematics (IPAM)

    The Elusive Generalization and Easy Optimization in Machine Learning - Part 1