精选70François Chollet技巧与观点
用 Keras 直接建模原始时空波形，破解宇宙射线起源难题
Figuring out the origins of cosmic rays (e.g. supernova, black hole...) from gro…
Figuring out the origins of cosmic rays (e.g. supernova, black hole...) from ground-based detector arrays is a notoriously difficult inverse problem.
从地面探测器阵列中找出宇宙射线（如超新星、黑洞等）的起源，是一个众所周知的困难逆问题。
This post walks through how astroparticle physicists are using Keras to replace the usual hand-crafted features and directly model the raw spatio-temporal waveforms https://developers.googleblog.com/decoding-cosmic-signals-with-deep-learning-and-keras/
这篇文章介绍了天体粒子物理学家如何利用Keras取代通常手工设计的特征，直接对原始时空波形进行建模 https://developers.googleblog.com/decoding-cosmic-signals-with-deep-learning-and-keras/
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力