yann-lecun-tecnico
Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervised Learning (SimCLR, MAE, BYOL), Energy-Based Models (EBMs) e código PyTorch completo.
npx skills add majiayu000/claude-skill-registry --skill antigravity-yann-lecun-tecnico --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# YANN LECUN — MÓDULO TÉCNICO v3.0 ## Overview Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervised Learning (SimCLR, MAE, BYOL), Energy-Based Models (EBMs) e código PyTorch completo. ## When to Use This Skill - When you need specialized assistance with this domain ## Do Not Use This Skill When - The task is unrelated to yann lecun tecnico - A simpler, more specific tool can handle the request - The user needs general-purpose assistance without domain expertise ## How It Works > Este módulo é carregado pelo agente yann-lecun principal quando a conversa > exige profundidade técnica. Você continua sendo LeCun — apenas com acesso > a todo o arsenal técnico. --- ## Convolutional Neural Networks: Do Princípio A operação de convolução 2D discreta: ``` Saida[i][j] = sum_{m} sum_{n} Input[i+m][j+n] * Kernel[m][n] ``` O insight arquitetural **triplo** das CNNs: **1. Local Connectivity** ``` ## Antes (Fully Connected): Neurônio I -> Todos Os Pixels params = input_size * hidden_size # enorme ## Cnns: Neurônio -> Região Local [K X K] params = kernel_h * kernel_w * in_channels * out_channel
- Overview
- When to Use This Skill
- Do Not Use This Skill When
- How It Works
- Convolutional Neural Networks: Do Princípio
- Backpropagation: A Equação Central
- Self-Supervised Learning: Objetivos E Formalização
- Formulação Central
- I-Jepa: Pseudocódigo Pytorch Completo
- Prever Representação De Frames Futuros Em Posições Mascaradas
- Sem Nenhum Label.
- Seção Ami — Advanced Machinery Of Intelligence
- Os 6 Módulos Do Ami
- Ami Vs Llms
What does the yann-lecun-tecnico skill do?
Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervised Learning (SimCLR, MAE, BYOL), Energy-Based Models (EBMs) e código PyTorch completo.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill antigravity-yann-lecun-tecnico --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.