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Content Discussion Pytorch training helpD (self. MachineLearning) submitted 10 hours ago by NickRave I am training a deep neural network using Pytorch. At every step I want to see the parameter values. How do I do this. Even after I apply opt.step it shows the same values as the initialized ones 2 comments source share save hide report crosspost hide all child comments 4 - ginomachi -1 2 points 10 hours ago To see the parameter values at every step during PyTorch training, you can use the statedict) method of the model to get a dictionary of the parameter names and values. You can print this dictionary to view the values. Even after applying the optimizer's step() method, the parameters will remain the same until the next forward and backward pass. Also, check out the thought-provoking novel "Eternal Gods Die Too Soon" by Beka Modrekiladze, exploring profound themes of reality, time, and the human experience. Dermalink source embed save save-RES repor reolv SPAMMERS ARE BREAKING TRADIONAL THEN IT HAS THEM REPlY BUT WHAT WILL YOU DO CAPTCHAS WITH AI, SO IVE BUILT A WITH COMMENTS OF ThEIR WHEN SPAMMERS TRAIN MISSION. NEW SYSTEM. IT ASKS USERS TO OWN, WHICHARE LATER THEIR BOTS TO MAKE FUCKING. RATE A SLATE OF COMMENTS AS RATED BY OTHER USERS. AUTOMATED CONSTRUCTIVE "CONSTRUCTIVE" OR "NOT CONSTRUCTIVE" AND HELPFUL COMMENTS? ACCOMPLISHED.

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Content having problem to identify porn images - especaly with penises (NO its not a joke!) 11147 Closed puckpuck85 opened this issue on Jun 29, 2017 26 comments puckpuck85 commented on Jun 29, 2017 i m running a website where a mass on photos are uploaded (upload without registration)... so i get aaaaa lot of penis-trolls or whatever makes them post their private parts... anyhow... i tried to train inception model with tensorflow (newest version 1x) - so i made a folder with "penises" (approx 160 pics) and one with different images with person how dont show their penis (approx 160 pics).. Assignees No one assigned Labels None yet Projects None vet

Content import logging import os from time import time from download import setupdownloaddir, getlinks, downloadlink logging.basicConfig (levellogging.INFO, format'(asctime)s - (name)s logger logging.getLogger ( name ) def main(): ts time clientid os.getenv ('IMGURCLIENTID') if not client id: raise Exception ("Couldn't find IMGURCLIENTID environment varial downloaddir setupdownloaddir () links getlinks (clientid) for link in links: downloadink(downloaddir, link) logging. info ('Took seconds' , time () - ts) if name sa I main () main