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)
    Fine-tuning ChatGPT with Synthetic GPT-4 Datasets - A Python Implementation
    Discover AI

    Fine-tuning ChatGPT with Synthetic GPT-4 Datasets - A Python Implementation

    Best Datasets for LLMs - How to Choose and Create Your Own
    Discover AI

    Best Datasets for LLMs - How to Choose and Create Your Own

    Reversible Transformer - GPU Memory Optimization Using ReFORMER and Reversible Residual Layers
    Discover AI

    Reversible Transformer - GPU Memory Optimization Using ReFORMER and Reversible Residual Layers

    Feature Vectors - Understanding BERT and SBERT Transformer Models
    Discover AI

    Feature Vectors - Understanding BERT and SBERT Transformer Models

    Panoptic Image Segmentation - Understanding Mask2Former
    Discover AI

    Panoptic Image Segmentation - Understanding Mask2Former

    Sample-Efficient Constrained Reinforcement Learning with General Parameterized Policies
    Centre for Networked Intelligence, IISc

    Sample-Efficient Constrained Reinforcement Learning with General Parameterized Policies

    The Power of Adaptivity in Representation Learning - From Meta-Learning to Federated Learning
    Centre for Networked Intelligence, IISc

    The Power of Adaptivity in Representation Learning - From Meta-Learning to Federated Learning

    Machine Learning: Neural Networks and Deep Learning - Lecture 18
    UofU Data Science

    Machine Learning: Neural Networks and Deep Learning - Lecture 18

    Machine Learning Fundamentals - Lecture 16
    UofU Data Science

    Machine Learning Fundamentals - Lecture 16

    Machine Learning Fundamentals - Lecture 15
    UofU Data Science

    Machine Learning Fundamentals - Lecture 15

    Machine Learning Fundamentals - Lecture 14
    UofU Data Science

    Machine Learning Fundamentals - Lecture 14

    Machine Learning Fundamentals - Lecture 13
    UofU Data Science

    Machine Learning Fundamentals - Lecture 13

    Machine Learning Fundamentals - Lecture 12
    UofU Data Science

    Machine Learning Fundamentals - Lecture 12

    Machine Learning Fundamentals - Lecture 11
    UofU Data Science

    Machine Learning Fundamentals - Lecture 11

    Pairwise Feature Importance and Effective Attention in Self-Attention Networks
    UofU Data Science

    Pairwise Feature Importance and Effective Attention in Self-Attention Networks

    Evaluating Input Attribution Methods in Machine Learning - Plausibility and Comprehensiveness
    UofU Data Science

    Evaluating Input Attribution Methods in Machine Learning - Plausibility and Comprehensiveness

    Machine Learning: Neural Networks and Deep Learning - Lecture 22
    UofU Data Science

    Machine Learning: Neural Networks and Deep Learning - Lecture 22

    Machine Learning: Neural Networks and Deep Learning - Lecture 21
    UofU Data Science

    Machine Learning: Neural Networks and Deep Learning - Lecture 21

    Machine Learning - Lecture 20
    UofU Data Science

    Machine Learning - Lecture 20

    Machine Learning - Lecture 19
    UofU Data Science

    Machine Learning - Lecture 19

    Machine Learning Practical Concerns and Societal Impacts - Lecture 28
    UofU Data Science

    Machine Learning Practical Concerns and Societal Impacts - Lecture 28