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Source channel @githubtrending · Post #14835 · Jun 17
#jupyter_notebook#jax Flax is a library for creating neural networks with JAX. It offers a flexible way to build and analyze these networks. The new Flax NNX API makes it easier to work with neural networks by using regular Python objects, which helps in creating, debugging, and analyzing models more efficiently. This means users can express their models in a more intuitive way, making it simpler to develop and modify neural networks. Flax also provides many tools and examples to help users get started quickly. https://github.com/google/flax
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@ethereumglobalnews · Post #1454 · 12/01/2025, 06:57 AM
🪙 Vitalik: “You can just build on #L1” as fees stay cheap in 2025. #ETH 😎 Vitalik 表示: 由於 2025 年以太坊交易費持續保持低位，「直接在 L1 上構建」依然可行。今年以來 L1 需求增速溫和、區塊空間壓力未現顯著擁堵。 #Ethereum#DeFi#以太坊#市場趨勢 ——— ⚡️ 若費用長期維持低檔，L1 與 Rollup 的功能分工可能再度被市場重估 #Scaling ✅Chat: @Web3NewsInsight 🦂 👇Tip👇讚 或點擊進行💎資源搜索👇
@ethereumglobalnews · Post #1618 · 12/26/2025, 04:57 AM
🪙 L1 Tokens 2025 Performance Castle Labs data shows most Layer 1 tokens ended 2025 in negative territory. Only BNB (+18.2%) and TRX (+9.8%) managed to stay in positive returns. • ETH：-15.3% • SOL：-35.9% • SUI / AVAX：跌幅均超 -67% • TON：全年回撤接近 -74% ⚡️ 結構性行情下L1 不再齊漲齊跌 #Ethereum#L1#CryptoMarkets #OnChain#BNB#以太坊 —————— 👇⭐️👇 🤣 🥲👇 資源搜索 🖲️👆
@deep_school · Post #83 · 09/20/2022, 02:35 PM
Сегодня вторник, а значит в эфире рубрика “повторяем теорию”🤓 Вспомним про регуляризацию сетей, а именно про три популярных метода: L1, L2 и Dropout (ведь был популярен когда-то, надо отдать дань старичку). Статья в телеграфе 👉Регуляризуем правильно! #регуляризация#L1#L2#dropout
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