Free Courses
    В каталог

    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 Third Wave AI: Interpretable, Robust Trustworthy Machine Learning
    Inside Livermore Lab

    Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning

    How Could We Design Aligned and Provably Safe AI?
    Inside Livermore Lab

    How Could We Design Aligned and Provably Safe AI?

    Learning Paradigms for Neural Networks: The Locally Backpropagated Forward-Forward Algorithm
    Inside Livermore Lab

    Learning Paradigms for Neural Networks: The Locally Backpropagated Forward-Forward Algorithm

    FOCUS Technique: Evolutionary Testing Simulation with Out-of-Distribution Images
    ANITI Toulouse

    FOCUS Technique: Evolutionary Testing Simulation with Out-of-Distribution Images

    Lowering the Entry Threshold for Neural Vector Search - Applying Similarity Learning
    OpenSource Connections

    Lowering the Entry Threshold for Neural Vector Search - Applying Similarity Learning

    Unbiased Neural Ranking Model for Product Search
    OpenSource Connections

    Unbiased Neural Ranking Model for Product Search

    A User Guide to Transformers
    Data Science Festival

    A User Guide to Transformers

    OpenAI Model Distillation and Evals Explained
    echohive

    OpenAI Model Distillation and Evals Explained

    The Melting Pot of Neural Algorithmic Reasoning
    GERAD Recherche

    The Melting Pot of Neural Algorithmic Reasoning

    Functional Neuronal Networks
    Centre de recherches mathématiques - CRM

    Functional Neuronal Networks

    Detect Anything with DarkNet/YOLO
    All Things Open

    Detect Anything with DarkNet/YOLO

    Large Neural Nets for Amortized Probabilistic Inference in Highly Multimodal Distributions
    Toronto Machine Learning Series (TMLS)

    Large Neural Nets for Amortized Probabilistic Inference in Highly Multimodal Distributions

    Introduction to SciPhy Reinforcement Learning - Part 1
    Toronto Machine Learning Series (TMLS)

    Introduction to SciPhy Reinforcement Learning - Part 1

    Machine Learning for Chip Design and Architecture
    Toronto Machine Learning Series (TMLS)

    Machine Learning for Chip Design and Architecture

    Software for Quantum Machine Learning
    Toronto Machine Learning Series (TMLS)

    Software for Quantum Machine Learning

    Interpretable Self-Explanatory Machine Learning Models
    Toronto Machine Learning Series (TMLS)

    Interpretable Self-Explanatory Machine Learning Models

    A Cookbook for Deep Continuous-Time Predictive Models
    Toronto Machine Learning Series (TMLS)

    A Cookbook for Deep Continuous-Time Predictive Models

    Assessing China's AI Capabilities - Overview and Deep Dive into Neural Networks Research
    Toronto Machine Learning Series (TMLS)

    Assessing China's AI Capabilities - Overview and Deep Dive into Neural Networks Research

    Overcoming the Cold Start Problem: How to Make New Tasks Tractable
    Toronto Machine Learning Series (TMLS)

    Overcoming the Cold Start Problem: How to Make New Tasks Tractable

    Hyperparameter Tuning with a Focus on Weights and Biases Sweeps
    Toronto Machine Learning Series (TMLS)

    Hyperparameter Tuning with a Focus on Weights and Biases Sweeps

    Human-Machine Collaboration Approach to Deep Learning Development
    Toronto Machine Learning Series (TMLS)

    Human-Machine Collaboration Approach to Deep Learning Development