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    Deep Learning

    3,423 courses
    Attention Mechanisms
    Autoencoders
    Batch Normalization
    Bayesian Deep Learning
    Convolution
    Convolutional Networks
    Deep Networks
    Deep Neural Networks
    Deepfakes
    Equivariant Neural Networks
    Geometric Deep Learning
    Image Synthesis
    Keras
    Multimodal Generative Networks
    Neural Style Transfer
    Positional Encoding
    PyTorch
    ResNet
    Self-Attention
    Self-Attention Mechanisms
    Stable Diffusion
    StyleGANs
    TPUs
    Transformer Architecture
    Variational Autoencoders
    AMD Hardware, Software and Libraries for Developing AI/ML Applications Using PyTorch
    Linux Foundation

    AMD Hardware, Software and Libraries for Developing AI/ML Applications Using PyTorch

    Generative AI and Stable Diffusion - Lightning Talks
    Linux Foundation

    Generative AI and Stable Diffusion - Lightning Talks

    PyTorch 2.0 - Unlocking the Power of Deep Learning with the Torch Compile API
    Linux Foundation

    PyTorch 2.0 - Unlocking the Power of Deep Learning with the Torch Compile API

    Machine Learning in Fastly's Compute@Edge
    Linux Foundation

    Machine Learning in Fastly's Compute@Edge

    How Amazon Search Leverages PyTorch to Build and Deploy LLMs in Production
    Linux Foundation

    How Amazon Search Leverages PyTorch to Build and Deploy LLMs in Production

    How PyTorch Became the Foundation of the AI Revolution
    Linux Foundation

    How PyTorch Became the Foundation of the AI Revolution

    MindSpore's Foundation Model Platform - Promoting Ecological Development
    Linux Foundation

    MindSpore's Foundation Model Platform - Promoting Ecological Development

    Democratizing Deep Learning at Scale with Horovod
    Linux Foundation

    Democratizing Deep Learning at Scale with Horovod

    Convergence of Denoising Diffusion Models Under the Manifold Hypothesis
    Alan Turing Institute

    Convergence of Denoising Diffusion Models Under the Manifold Hypothesis

    Exploring Foundation Models - Session 3
    Alan Turing Institute

    Exploring Foundation Models - Session 3

    Exploring Foundation Models - Session 1
    Alan Turing Institute

    Exploring Foundation Models - Session 1

    LF AI Mini-Summit - Artificial Intelligence Innovations and Trends
    Linux Foundation

    LF AI Mini-Summit - Artificial Intelligence Innovations and Trends

    Understanding Deep Learning - Challenges for Statistical Learning Theory
    IEEE

    Understanding Deep Learning - Challenges for Statistical Learning Theory

    Large Language Models Are Not Necessarily Generative AI - Karin Verspoor, PhD
    Open Data Science

    Large Language Models Are Not Necessarily Generative AI - Karin Verspoor, PhD

    Training Foundation Model Workloads on Kubernetes at Scale with MCAD
    CNCF [Cloud Native Computing Foundation]

    Training Foundation Model Workloads on Kubernetes at Scale with MCAD

    Autogen and Local LLMs Create Realistic Stable Diffusion Model Autonomously
    kasukanra

    Autogen and Local LLMs Create Realistic Stable Diffusion Model Autonomously

    FedLess - Secure and Scalable Serverless Federated Learning
    Linux Foundation

    FedLess - Secure and Scalable Serverless Federated Learning

    Transformers: Introduction and Fundamentals - Day 1
    Envato Tuts+

    Transformers: Introduction and Fundamentals - Day 1

    Anomaly Detection with Deep Learning: Finding the Needle in the Haystack in the Enterprise
    BasisTech

    Anomaly Detection with Deep Learning: Finding the Needle in the Haystack in the Enterprise

    Inception V2 Neural Network Architecture Tutorial
    Envato Tuts+

    Inception V2 Neural Network Architecture Tutorial

    Inception v1 Neural Network Architecture Tutorial
    Envato Tuts+

    Inception v1 Neural Network Architecture Tutorial