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git.ir
Generative Adversarial Network (GAN) from scratch | PyTorch
Its a code heavy and rather in-depth course to master Generative Adversarial Network implementation.
1.9K views
Aug 26, 2022
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👿Riteshܔ Patel࿐😈👿 on Instagram: "🇯🇵 当达到这种速度时,已经不再是地面移动,而是以音速前进 🚀🌍 这段模拟展示了如果以 马赫 1(约 1330 公里/小时)的速度乘坐超音速列车穿越日本,会是一种怎样的体验。 目前,日本最快的列车运行速度约为 320 公里/小时,而在如超高速 磁悬浮列车 等先进实验平台上,在受控环境中已经实现了 超过 600 公里/小时 的速度。这一模拟远远超出了现有水平,探索当现代铁路概念进化为真正的超高速系统时,未来将具备怎样的可能性。 要达到这样的速度,仅靠动力是远远不够的。工程师们正在研究 磁悬浮技术、几乎零摩擦的导轨,以及 真空或低压管道系统,以消除超高速运行中最大的限制因素——空气阻力。在马赫级别的速度下,哪怕是微小的空气扰动,也会成为严峻的结构性挑战。 因此,未来的超音速铁路构想将依赖于 高精度导向系统、AI 控制的稳定技术,以及在 数百公里范围内以毫米级误差建造的基础设施。 一旦实现,如今需要数小时的行程将被缩短到几分钟,这可能从根本上改变 通勤方式、区域经济,以及 大型城市之间的连接方式。 你喜欢科技
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