转自:爱可可-爱生活
A Mindmap summarising Deep Learning concepts, Architectures, and the Tensorflow library.
Overview
Deep Learning is part of a broader family of Machine Learning methods based on learning data representations, as opposed to task-specific algorithms. Learning can be supervised, partially supervised, or unsupervised. This is an attempt to summarize this large field in one .PDF file.
Mindmap on Data Science
Here's another mindmap which focuses on Machine Learning basics and Data Science.
https://github.com/dformoso/machine-learning-mindmap
Download
Download the PDF here:
https://github.com/dformoso/deeplearning-mindmap/blob/master/Deep%20Learning.pdf
I've built the mindmap with MindNode for the Mac. https://mindnode.com
Concepts
A partial list of the building blocks of Deep Learning architectures, with notes on the mathematics behind each component.
链接:
https://github.com/dformoso/deeplearning-mindmap
原文链接:
https://m.weibo.cn/1402400261/4142347611099308