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trilo (46)Hivebuzz level badge

131 followers22 posts8 following6 HP
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Joined November 2017 Active 7 years ago

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  • steemitboard (66)in #math • 6 years ago
    featured

    RE: Duality

    Congratulations @trilo! You received a personal award! Birthday! - You are on the Steem blockchain for 2 years! You can view your badges on your Steem Board and…
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    • steemitboard (66)in #math • 7 years ago
      featured

      RE: Duality

      Congratulations @trilo! You have received a personal award! 1 Year on Steemit Click on the badge to view your Board of Honor. Do not miss the last post from…
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      • terenceplizga (48)in #neuroscience • 8 years ago

        RE: Encoding Model Basics (1/?)

        Thanks. I hope some of it was beneficial. The devil is usually in the details on projects like this, so the sooner you can confront potential traps, the better. Re: matrices…
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        • steemstem (73)in #math • 8 years ago
          featured

          RE: Bayesian Inference (for people with existential angst)

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          • alexs1320 (71)in #math • 8 years ago

            RE: Bayesian Inference (for people with existential angst)

            It is always good to post the text like this because the probability, correlation and causality are the terms often not understood by the general public. I wrote about the…
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            • trilo (46)in #deep-learning • 8 years ago

              RE: Generative Adversarial Network for Neural Decoding

              All right, there were somethings that I misunderstood about GANs when I wrote this post. First of all, GANs are for unsupervised learning (that is learning on unlabeled data).…
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            • terenceplizga (48)in #neuroscience • 8 years ago

              RE: Encoding Model Basics (1/?)

              Let me ask a few questions to make things more concrete. Are the following correct observations from your proposal statement? If we were studying visual processing, the…
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              • steemitboard (66)in #neuroscience • 8 years ago
                featured

                RE: Encoding Model Basics (1/?)

                Congratulations @trilo! You have completed some achievement on Steemit and have been rewarded with new badge(s) : Award for the number of upvotes received Click on any…
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                • steemstem (73)in #steemstem • 8 years ago

                  RE: SteemSTEM Distilled #6

                  If the posts are STEM related then absolutely.
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                  • steemitboard (66)in #deep-learning • 8 years ago
                    featured

                    RE: Neural Decoding With Deep Learning: Project Motivation

                    Congratulations @trilo! You have completed some achievement on Steemit and have been rewarded with new badge(s) : Award for the number of upvotes received Click on any…
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                    • lemouth (74)in #deep-learning • 8 years ago

                      RE: Neural Decoding With Deep Learning: Project Motivation

                      Please do! I am looking forward to read the next posts. By the way, as I said in your previous post, please include references, This is known (it is a fact :p) to bring more rewards.
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                      • trilo (46)in #deep-learning • 8 years ago

                        RE: Neural Decoding With Deep Learning: Project Motivation

                        Hey, if any one has some advice on the html layout issues I'm having, it would be greatly appreciated. ;)
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                        • lemouth (74)in #deep-learning • 8 years ago

                          RE: Generative Adversarial Network for Neural Decoding

                          Thanks for letting me know. :) Why not adding this information at the end or beginning of the post? You could for instance provide links to the sources to your readers.
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                          • terenceplizga (48)in #deep-learning • 8 years ago

                            RE: Generative Adversarial Network for Neural Decoding

                            Incidentally, there's a research group in China that's working on this too. And there are probably others. I just remember reading about the China group in MIT Technology Review.
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                            • terenceplizga (48)in #deep-learning • 8 years ago

                              RE: Generative Adversarial Network for Neural Decoding

                              Every time you upvote something, your 24 hour supply of voting power is reduced. I think it drops by 2%. Every 24 hours it regenerates, I think by 20%. So if you want to start…
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                              • terenceplizga (48)in #deep-learning • 8 years ago

                                RE: Generative Adversarial Network for Neural Decoding

                                Hi @trilo, interesting article. I'm going to have to follow you now! Your interest in neuroscience fits with my interest in machine learning. Maybe we can compare notes now…
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                                • lemouth (74)in #deep-learning • 8 years ago

                                  RE: Generative Adversarial Network for Neural Decoding

                                  This looks like an AI vs. AI fight :D By the way, I think it would be very useful, for the readers, to add extra references where more information could be found. In addition…
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                                • mobbs (74)in #introduceyourself • 8 years ago

                                  RE: Hi! Let's build a program that can read minds

                                  Welcome, if you want to write about anything related to sciencec tech, engineering or maths, feel free to use the #steemstem tag in your work for higher chance of bigger rewards…
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                                  • steemitboard (66)in #deep-learning • 8 years ago
                                    featured

                                    RE: Generative Adversarial Network for Neural Decoding

                                    Congratulations @trilo! You have completed some achievement on Steemit and have been rewarded with new badge(s) : You published your First Post You got a First…
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