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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)
    Towards Compositional Interpretability for XAI
    Institute for Pure & Applied Mathematics (IPAM)

    Towards Compositional Interpretability for XAI

    Compositional Approaches to Modelling Language and Concepts
    Institute for Pure & Applied Mathematics (IPAM)

    Compositional Approaches to Modelling Language and Concepts

    Learning Libraries of Programmatic Policies
    Institute for Pure & Applied Mathematics (IPAM)

    Learning Libraries of Programmatic Policies

    Object Detection with Python - A Beginner's Guide to Computer Vision
    Pysource

    Object Detection with Python - A Beginner's Guide to Computer Vision

    A Systematic Approach to Reading Deep Learning Codebases
    Yacine Mahdid

    A Systematic Approach to Reading Deep Learning Codebases

    GAN, Video, and Point Cloud Processing in Machine Learning - Lecture 17
    MIT HAN Lab

    GAN, Video, and Point Cloud Processing in Machine Learning - Lecture 17

    GAN, Video, and Point Cloud Processing in Machine Learning - Lecture 17
    MIT HAN Lab

    GAN, Video, and Point Cloud Processing in Machine Learning - Lecture 17

    Fourier-Enhanced Fine-Tuning Vision Language Models Using PEFT-VFPT
    Discover AI

    Fourier-Enhanced Fine-Tuning Vision Language Models Using PEFT-VFPT

    From McCulloch-Pitts to Retina: A Journey Through Neural Networks and Sensory Encoding
    Institute for Pure & Applied Mathematics (IPAM)

    From McCulloch-Pitts to Retina: A Journey Through Neural Networks and Sensory Encoding

    BitNet.cpp - Inferencia de Modelos de hasta 100B en CPU
    The Machine Learning Engineer

    BitNet.cpp - Inferencia de Modelos de hasta 100B en CPU

    BitNet.cpp - CPU Inference Framework for 1-bit Large Language Models
    The Machine Learning Engineer

    BitNet.cpp - CPU Inference Framework for 1-bit Large Language Models

    Converting Alibaba Cloud Qwen2-VL Model to OpenVino IR Format - Spanish Tutorial
    The Machine Learning Engineer

    Converting Alibaba Cloud Qwen2-VL Model to OpenVino IR Format - Spanish Tutorial

    Converting Qwen2-VL 2B Model to OpenVino IR Format for CPU Inference
    The Machine Learning Engineer

    Converting Qwen2-VL 2B Model to OpenVino IR Format for CPU Inference

    Progress in Agentic AI - From Chatbots to Autonomous Systems
    Weights & Biases

    Progress in Agentic AI - From Chatbots to Autonomous Systems

    All-in-One Artificial Intelligence Full Course 2024 - AI Tutorial for Beginners
    Great Learning

    All-in-One Artificial Intelligence Full Course 2024 - AI Tutorial for Beginners

    Improving Model Robustness with Natural Language Corrections
    Association for Computing Machinery (ACM)

    Improving Model Robustness with Natural Language Corrections

    Vision-Based Hand Gesture Customization from a Single Demonstration
    Association for Computing Machinery (ACM)

    Vision-Based Hand Gesture Customization from a Single Demonstration

    Azure AI Training and Fine-tuning Custom LLMs with Distributed Training
    Microsoft

    Azure AI Training and Fine-tuning Custom LLMs with Distributed Training

    Artificial Intelligence for Network Operations in CCNA
    Kevin Wallace Training, LLC

    Artificial Intelligence for Network Operations in CCNA

    Introduction to Artificial Intelligence and Machine Learning
    Asia Open RAN Academy

    Introduction to Artificial Intelligence and Machine Learning

    Artificial Intelligence and Machine Learning Fundamentals
    Asia Open RAN Academy

    Artificial Intelligence and Machine Learning Fundamentals