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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)
    Deep Learning for Quantum Physics and Astronomy
    ICTP Condensed Matter and Statistical Physics

    Deep Learning for Quantum Physics and Astronomy

    Representation Learning for Quantum Systems
    ICTP Condensed Matter and Statistical Physics

    Representation Learning for Quantum Systems

    Cost-Efficient Neural Dynamics: Reconciling Multilevel Spontaneous and Evoked Activity in E-I Balanced Neural Networks at Criticality
    PCS Institute for Basic Science

    Cost-Efficient Neural Dynamics: Reconciling Multilevel Spontaneous and Evoked Activity in E-I Balanced Neural Networks at Criticality

    Introduction to Artificial Intelligence - Lecture 14: Assignment 4
    Dave Churchill

    Introduction to Artificial Intelligence - Lecture 14: Assignment 4

    Introduction to Deep Neural Networks - Lecture 21
    Dave Churchill

    Introduction to Deep Neural Networks - Lecture 21

    Parameter Inference of Music Synthesizers with Deep Learning
    ADC - Audio Developer Conference

    Parameter Inference of Music Synthesizers with Deep Learning

    Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model
    ADC - Audio Developer Conference

    Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model

    Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model
    ADC - Audio Developer Conference

    Deep Learning in Audio for Absolute Beginners: From No Experience to a Deployed Model

    Inference Engines and Audio - Machine Learning in Audio Applications
    ADC - Audio Developer Conference

    Inference Engines and Audio - Machine Learning in Audio Applications

    Deep Learning for DSP Engineers: Challenges and Tricks for Audio AI
    ADC - Audio Developer Conference

    Deep Learning for DSP Engineers: Challenges and Tricks for Audio AI

    Deep Dive - Unpacking the TinyML Cookbook
    Arm Software Developers

    Deep Dive - Unpacking the TinyML Cookbook

    LLMs and Transformers Demystified: Introduction to AI Engineering - Lecture 1
    Data Centric

    LLMs and Transformers Demystified: Introduction to AI Engineering - Lecture 1

    How Well Do Sparse Models Transfer? - Exploring Transfer Performance in Computer Vision and NLP
    Neural Magic

    How Well Do Sparse Models Transfer? - Exploring Transfer Performance in Computer Vision and NLP

    Sparse Training of Neural Networks Using AC/DC
    Neural Magic

    Sparse Training of Neural Networks Using AC/DC

    Applying Second-Order Pruning Algorithms for SOTA Model Compression
    Neural Magic

    Applying Second-Order Pruning Algorithms for SOTA Model Compression

    Pruning and Quantizing ML Models With One Shot Without Retraining
    Neural Magic

    Pruning and Quantizing ML Models With One Shot Without Retraining

    Fine-tuning Optimizations - DoRA, NEFT, LoRA+, and Unsloth
    Trelis Research

    Fine-tuning Optimizations - DoRA, NEFT, LoRA+, and Unsloth

    Full Fine-Tuning vs LoRA and QLoRA - Comparison and Best Practices
    Trelis Research

    Full Fine-Tuning vs LoRA and QLoRA - Comparison and Best Practices

    Very Few Parameter Fine-Tuning with ReFT and LoRA
    Trelis Research

    Very Few Parameter Fine-Tuning with ReFT and LoRA

    Transformers from Scratch - Part 2: Building and Training a Weather Prediction Model
    Trelis Research

    Transformers from Scratch - Part 2: Building and Training a Weather Prediction Model

    Large-Scale Deep Learning to Augment Production RL Workloads at Riot Games
    Anyscale

    Large-Scale Deep Learning to Augment Production RL Workloads at Riot Games