Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
https://i.ytimg.com/vi/OAb_p-SXSeM/maxresdefault.jpg
If input/output layers get bigger, the range [-x,x] and standard deviation decreases, wouldn’t this make the initialized nodes be more similar? Wouldn’t it make sense to spread out the initialization of many nodes instead of making them less spread out?
submitted by /u/__BetterAgent__
[link] [comments]
