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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)
    Large Language Models and Transformers: Perspectives from Physics, Neuroscience, and Theory
    Simons Institute for the Theory of Computing

    Large Language Models and Transformers: Perspectives from Physics, Neuroscience, and Theory

    Introduction to Transformers
    Simons Institute for the Theory of Computing

    Introduction to Transformers

    How Well Does Diffusion Model Generate? Exploring Generalization in Emerging Settings
    Simons Institute for the Theory of Computing

    How Well Does Diffusion Model Generate? Exploring Generalization in Emerging Settings

    Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations
    Simons Institute for the Theory of Computing

    Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations

    In-Context Principle Learning from Mistakes
    Simons Institute for the Theory of Computing

    In-Context Principle Learning from Mistakes

    Unexpected Test Losses from Generalization Theory
    Simons Institute for the Theory of Computing

    Unexpected Test Losses from Generalization Theory

    Application of Machine Learning for Advanced Quantum Detection - Class 2
    ICTP-SAIFR

    Application of Machine Learning for Advanced Quantum Detection - Class 2

    Uncovering Cellular Dynamics and Metabolism with Geometric Deep Learning and Optimal Transport
    Computational Genomics Summer Institute CGSI

    Uncovering Cellular Dynamics and Metabolism with Geometric Deep Learning and Optimal Transport

    Bridging the Gap: Deep Learning and Causality
    Computational Genomics Summer Institute CGSI

    Bridging the Gap: Deep Learning and Causality

    TinyEngine: Transformer and LLM - Lecture 12
    MIT HAN Lab

    TinyEngine: Transformer and LLM - Lecture 12

    TinyEngine: Transformer and Large Language Models - Lecture 12
    MIT HAN Lab

    TinyEngine: Transformer and Large Language Models - Lecture 12

    Deep-Learning Solutions for Efficient Cardiac MR
    GE HealthCare

    Deep-Learning Solutions for Efficient Cardiac MR

    Mathematical Snippets From Developments in AI
    University of Chicago Department of Mathematics

    Mathematical Snippets From Developments in AI

    DIY AI: Build and Train Your Own Model with PyTorch
    Kevin McAleer

    DIY AI: Build and Train Your Own Model with PyTorch

    TensorFlow 2.0 Beginner Tutorials
    Aladdin Persson

    TensorFlow 2.0 Beginner Tutorials

    Coding TensorFlow
    TensorFlow

    Coding TensorFlow

    Deep Learning With TensorFlow
    edureka!

    Deep Learning With TensorFlow

    Python Neural Network Tutorials
    Tech With Tim

    Python Neural Network Tutorials

    Deep Learning for Audio with Python
    Valerio Velardo - The Sound of AI

    Deep Learning for Audio with Python

    CBW's Machine Learning Workshops May 25-26, 2021
    Bioinformatics DotCa

    CBW's Machine Learning Workshops May 25-26, 2021

    Artificial Intelligence Full Course in Python - Artificial Intelligence Tutorial
    Great Learning

    Artificial Intelligence Full Course in Python - Artificial Intelligence Tutorial