深度学习Deep Learning
Deep Learning
解决什么问题What problem it solves
用很多层「神经元」叠起来的网络，从数据里学出复杂特征。Stack many layers so the network learns its own features instead of being told them.
这是什么What it is
机器学习的一个分支，核心是层数很深的人工神经网络。
「深度」指网络的层数多，不是指它更深奥。
Machine learning using multi-layer neural networks, where representations are learned from raw data rather than hand-designed.
为什么需要知道Why it matters
你现在用的所有大模型都属于这一类。看到这个词就知道：背后是数据 + 算力堆出来的。It is what made image, speech and language tasks leap forward. Understanding it helps you judge which claims about "deep learning" are real.
现在能做什么What you can do now
回到名词地图看第1站的其他 34 个词 →Back to the map: the other 34 terms in station 1 →