Yannic Kilcher
Источник верифицирован
Технологии
Канал Yannic Kilcher — 387 видео в базе знаний, категория: tech.
В базе с March 2026
387
видео в базе
4
методичек
315K
подписчиков
387
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4
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Методички канала
AlphaFold 2: как ИИ совершил революцию в биологии и предсказании структуры белков
Освойте Vision Transformers (ViT): преобразуйте архитектуру нейросетей для глубокого обучения изображений
Мастерство общения с ИИ: от промпт-инжиниринга до преодоления ограничений ChatGPT
Архитектура Трансформер: освойте механизм внимания и сократите путь обработки данных
Видео в базе
387 видео
I'm out of Academia
DINO: Emerging Properties in Self-Supervised Vision Transformers (Facebook AI Research Explained)
Why AI is Harder Than We Think (Machine Learning Research Paper Explained)
I COOKED A RECIPE MADE BY A.I. | Cooking with GPT-3 (Don't try this at home)
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained)
I BUILT A NEURAL NETWORK IN MINECRAFT | Analog Redstone Network w/ Backprop & Optimizer (NO MODS)
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Machine Learning PhD Survival Guide 2021 | Advice on Topic Selection, Papers, Conferences & more!
Is Google Translate Sexist? Gender Stereotypes in Statistical Machine Translation
Perceiver: General Perception with Iterative Attention (Google DeepMind Research Paper Explained)
Pretrained Transformers as Universal Computation Engines (Machine Learning Research Paper Explained)
Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)
Multimodal Neurons in Artificial Neural Networks (w/ OpenAI Microscope, Research Paper Explained)
GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton's Paper Explained)
Linear Transformers Are Secretly Fast Weight Memory Systems (Machine Learning Paper Explained)
DeBERTa: Decoding-enhanced BERT with Disentangled Attention (Machine Learning Paper Explained)
Dreamer v2: Mastering Atari with Discrete World Models (Machine Learning Research Paper Explained)
TransGAN: Two Transformers Can Make One Strong GAN (Machine Learning Research Paper Explained)
NFNets: High-Performance Large-Scale Image Recognition Without Normalization (ML Paper Explained)
Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention (AI Paper Explained)
Deep Networks Are Kernel Machines (Paper Explained)
Feedback Transformers: Addressing Some Limitations of Transformers with Feedback Memory (Explained)
SingularityNET - A Decentralized, Open Market and Network for AIs (Whitepaper Explained)
