Building makemore Part 2: MLP
Hi everyone. Today we are continuing our implementation of makemore. Now in the last lecture we implemented the bigram language model and we implemented both using counts and also using a super simple neural network that had a single linear layer. Now this is the Jupyter…
- 01.Hi everyone
- 02.Today we are continuing our implementation of makemore
- 03.Now in the last lecture we implemented the bigram language model and we implemented both using counts and also using a super simple neural network that had a single linear layer
This material is provided as an extended analytical summary.
Read full article at sourceRelated Intelligence
All stories →Qwen3.8 Flash Next на RTX 3090: полноценная разработка без облака
Мое закрытое сообщество https://amorev.ru/promo Мой ИИ-провайдер https://ai.wormsoft.ru. Мой Telegram-канал https://t.me/gmoreva Пост про запуск в сообществе https://amorev.ru/p/qwen-38-flash-next-my-gpus Пост про GPU–железо https://amorev.ru/p/my-gpu-hardware Qwen3.8 Flash Next…
GEMINI 5：新的 AI 时代来临！
使用代码 ARTHUR100OFF 在 Granola 获得首月 100% 优惠 https://go.granola.ai/winermedia 🧠 不要错过最新的 Gemini 更新！加入我的 15,000+ 学员 → https://aimaster.me/yt/gemini5 🤝 独家品牌合作 - https://aimaster.me/collab Gemini 5 传闻……
黄仁勋谈AI时代的关键 #astanahub #ai
唯一重要的是：你有雄心吗？如果你有雄心，人工智能和机器人技术将赋能你做更多事情。如果你是农民且有雄心，机器人将帮助你耕种。正因为你有雄心，你可以扩大业务。如果你……