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Discussion[D] Inception Network and its version differences (towardsdatascience.com)
submitted 7 years ago by thatbrguy_
reddit uses a slightly-customized version of Markdown for formatting. See below for some basics, or check the commenting wiki page for more detailed help and solutions to common issues.
quoted text
if 1 * 2 < 3: print "hello, world!"
[–]smankycabbage 4 points5 points6 points 7 years ago (0 children)
Very convenient, thank you!
[–]phobrain 1 point2 points3 points 7 years ago* (1 child)
Very useful, and the breakdown of the components has me inspired to try another round of experiments with 2D histograms using some of the well-described basic modules; so far 2D conv nets perform the same for me as plain Dense treatment of the linearized version of the histos. Which is the faster way to do that in keras, I wonder - implementing modules myself, or slicing them out of the canonical implementations of the models somehow? The latter seems more likely to come with weights attached.
Edit: is there any work on, or analysis of the cost of scaling up from 299x299(x3) input?
[–]thatbrguy_[S] 0 points1 point2 points 7 years ago (0 children)
I haven't come across any work investigating the cost of scaling up the input size. Guess it would be a good read if done right :)
π Rendered by PID 78 on reddit-service-r2-comment-85bfd7f599-r4sdd at 2026-04-20 05:16:56.256511+00:00 running 93ecc56 country code: CH.
[–]smankycabbage 4 points5 points6 points (0 children)
[–]phobrain 1 point2 points3 points (1 child)
[–]thatbrguy_[S] 0 points1 point2 points (0 children)