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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)
    Machine Learning Fundamentals - Lecture 22
    UofU Data Science

    Machine Learning Fundamentals - Lecture 22

    Challenges of Federated and Zero-Cost Neural Architecture Search
    AutoML Seminars

    Challenges of Federated and Zero-Cost Neural Architecture Search

    Informer: Complete Code from Scratch - Time Series Transformer Analysis
    CodeEmporium

    Informer: Complete Code from Scratch - Time Series Transformer Analysis

    Understanding and Steering Generative AI Systems
    Simons Institute

    Understanding and Steering Generative AI Systems

    Training Neural Networks and Deep Learning Optimization Methods - Lecture 16
    Manolis Kellis

    Training Neural Networks and Deep Learning Optimization Methods - Lecture 16

    Efficient Model Development in the Era of Large Language Models
    VinAI

    Efficient Model Development in the Era of Large Language Models

    Vision Transformers (ViTs) - A Beginner's Guide to Image Processing with Transformers
    Code With Aarohi

    Vision Transformers (ViTs) - A Beginner's Guide to Image Processing with Transformers

    Uncertainty Quantification with Conformal Prediction - A Path to Reliable ML Models
    Toronto Machine Learning Series (TMLS)

    Uncertainty Quantification with Conformal Prediction - A Path to Reliable ML Models

    Getting Started with Generative Text and Fine-Tuning LLMs in Hugging Face
    Toronto Machine Learning Series (TMLS)

    Getting Started with Generative Text and Fine-Tuning LLMs in Hugging Face

    Vision Transformer - Lecture 16
    MIT HAN Lab

    Vision Transformer - Lecture 16

    Vision Transformer for Efficient Machine Learning - Lecture 16
    MIT HAN Lab

    Vision Transformer for Efficient Machine Learning - Lecture 16

    Класифікація стимулів в реверберативній імпульсній нейронній мережі
    Bogolyubov Institute for Theoretical Physics

    Класифікація стимулів в реверберативній імпульсній нейронній мережі

    Основи роботи нейромереж
    Bogolyubov Institute for Theoretical Physics

    Основи роботи нейромереж

    Long-Context Large Language Models - Lecture 15
    MIT HAN Lab

    Long-Context Large Language Models - Lecture 15

    Organizing Knowledge for Flexible Behavior in Neural Networks
    Wu Tsai Neurosciences Institute, Stanford

    Organizing Knowledge for Flexible Behavior in Neural Networks

    Molecular Neuromorphic Building Blocks for Artificial Intelligence
    Raman Research Institute

    Molecular Neuromorphic Building Blocks for Artificial Intelligence

    Powering Llama 3 - A Peek into Meta's Massive Infrastructure for Generative AI
    HOTI - Hot Interconnects Symposium

    Powering Llama 3 - A Peek into Meta's Massive Infrastructure for Generative AI

    Keeping Pace: Micro-Models, Large Language Models, and the Co-Evolution of Chip and Data Center Design in a Rapidly Shifting AI Landscape
    HOTI - Hot Interconnects Symposium

    Keeping Pace: Micro-Models, Large Language Models, and the Co-Evolution of Chip and Data Center Design in a Rapidly Shifting AI Landscape

    A Journey Towards Explainable AI and Its Societal Implications - From Trust Issues to Complex Models
    IIIA Hub

    A Journey Towards Explainable AI and Its Societal Implications - From Trust Issues to Complex Models

    ComfyUI Installation and Control Net Manager Guide - Part 1
    Vladimir Chopine [GeekatPlay]

    ComfyUI Installation and Control Net Manager Guide - Part 1

    LLM Post-Training Techniques - Lecture 14
    MIT HAN Lab

    LLM Post-Training Techniques - Lecture 14