Neural Network Learns The Physics of Fluids and Smoke | Two Minute Papers #118
推荐理由
Take a look at an application of deep learning in accelerating complex 3d rendering.
说明
这是2017年由Two Minute Papers发布的一部讲解,主题归在Machine learning & deep learning。它讲的是neural fluid simulation这一支里的具体问题,而不是把整个领域扫一遍。适合按兴趣直接看、不打算先补课的人。内容上可以概括成:Two Minute Papers covers a paper on speeding up fluid and smoke simulation with convolutional networks. It contrasts the approach with earlier regression forest methods.这些读者给出的理由,核心是:It is cited as an early example of neural networks learning physics, and recalled during later discussions of AI video generation.它贴着当时的技术,看的时候要记得那是那个年份的判断。从2017年到2024年,有1位不同的读者在1个不同月份把它推荐出来,其中明确叫别人去看的有0次。适合用一集把一个概念补上的人。抓住它用的那个图像或类比,比背公式重要。如果已经会了基本定义,就把注意力放在它怎么把neural fluid simulation变成能跟着复述的例子。
视频信息
- 频道
- Two Minute Papers
- 时长
- 5 分 26 秒
- 发布年份
- 2017
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