Yannic Kilcher
Источник верифицирован
Технологии
Канал Yannic Kilcher — 387 видео в базе знаний, категория: tech.
В базе с March 2026
387
видео в базе
25
методичек
319K
подписчиков
387
Видео
25
Методичек
13.6M
Просмотров
Методички канала
Все 25 →Создание эффективных языковых моделей: Как тренировать нейросети с фиксированным бюджетом
Мастерство Flow Matching: проектируйте современные генеративные модели нового поколения
Освойте архитектуру Retentive Network: как создавать языковые модели нового поколения с низкими затратами на память и инференс
Освойте генеративное искусство: создавайте изображения из текстовых описаний с помощью ИИ
Освойте самообучающееся ИИ: как проектировать модели, понимающие мир без размеченных данных
Мастерство работы с нейросетями: от дешифровки сигналов мозга до масштабирования больших моделей
Видео в базе
387 видео
On the Measure of Intelligence by François Chollet - Part 4: The ARC Challenge (Paper Explained)
BERTology Meets Biology: Interpreting Attention in Protein Language Models (Paper Explained)
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding (Paper Explained)
Object-Centric Learning with Slot Attention (Paper Explained)
Set Distribution Networks: a Generative Model for Sets of Images (Paper Explained)
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection (Paper Explained)
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures (Paper Explained)
On the Measure of Intelligence by François Chollet - Part 3: The Math (Paper Explained)
Discovering Symbolic Models from Deep Learning with Inductive Biases (Paper Explained)
How I Read a Paper: Facebook's DETR (Video Tutorial)
RepNet: Counting Out Time - Class Agnostic Video Repetition Counting in the Wild (Paper Explained)
![[Drama] Yann LeCun against Twitter on Dataset Bias](/thumbnail/n1SXlK5rhR8.jpg)
[Drama] Yann LeCun against Twitter on Dataset Bias
SIREN: Implicit Neural Representations with Periodic Activation Functions (Paper Explained)
Big Self-Supervised Models are Strong Semi-Supervised Learners (Paper Explained)
On the Measure of Intelligence by François Chollet - Part 2: Human Priors (Paper Explained)
Image GPT: Generative Pretraining from Pixels (Paper Explained)
BYOL: Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning (Paper Explained)
TUNIT: Rethinking the Truly Unsupervised Image-to-Image Translation (Paper Explained)
A bio-inspired bistable recurrent cell allows for long-lasting memory (Paper Explained)
SynFlow: Pruning neural networks without any data by iteratively conserving synaptic flow
Deep Differential System Stability - Learning advanced computations from examples (Paper Explained)
VirTex: Learning Visual Representations from Textual Annotations (Paper Explained)
Linformer: Self-Attention with Linear Complexity (Paper Explained)
