#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network
Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance.
https://github.com/PaddlePaddle/Paddle-Lite
CSS yordamida dizayn mahoratingizni oshiring!
Saytingiz ko‘rinishini yanada chiroyli, zamonaviy va professional qilish uchun quyidagi foydali vositalardan foydalanib ko‘ring:
1️⃣Border Radius Generator – burchaklarni yumaloq qilishda qulay:
🔗10015.io/tools/css-border-radius-generator
2️⃣Glassmorphism Generator – shaffoflik effekti bilan zamonaviy dizaynlar yarating:
🔗hype4.academy/tools/glassmorphism-generator
3️⃣Shadows Generator – realistik soyalar yaratish uchun ajoyib vosita:
🔗shadows.brumm.af
4️⃣Box Shadow Examples – tayyor soya effektlarini tanlab olib qo‘llang:
🔗getcssscan.com/css-box-shadow-examples
#CSS
💻@dasturlash_hayoti— dasturchilar hayoti va dasturlash olami haqida qiziqarli loyiha!
#css
🖥 Ko‘rsatilgan gradiyentlarga asosan CSS kod chiqarib beruvchi foydali sayt.
LINK👉neumorphism.io
💻@dasturlash_hayoti— dasturchilar va dasturlash hayotini yoritib boradigan loyiha!