Thank you! I do my best. ^^

If we were studying visual processing, the matrix x could be implemented as an m x n 2-D matrix, where each element of the matrix corresponds to a grayscale value in a digital photograph of the object

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). That means GANs are applicable

Hey man. Great to see I'm not alone! Lets start filling up the neuroscience tag together. :))

You're totally right and I feel guilty that I didn't! I'll try to add them to all my previous posts in the course of this week. As for the tutorial, thanks for letting me know. I'll try to write it in

Hey, if any one has some advice on the html layout issues I'm having, it would be greatly appreciated. ;)

Thanks man. Great community on here. :)

Thanks, Ill check it out!

Hi. Thank you so much for this comment! Im in the bus atm and I won't be able to write a proper response until tomorrow, but I wanted to acknowledge your comment. :) I'm in the process of writing a post

As a computer science undergraduate sadly, out of all those healthy measures to increase my neuron count, I only have access to learning. :(

Is steemstem also a good option if I'm just using Steemit as a research blog, giving updates on the project I'm working on, instead of writing standalone articles?

Thank you for the information! I'll keep that in mind.

Thank you so much for the feedback! For this post I just used Goodfellow's original paper and wikipedia. Ill try to give more sources in future.

Yay me! Do I only have a limited amount of upvotes? Does the power of an upvote dilute if I use more? I don't understand this website yet...

Tensorflow is really straight forward! I'd recommend trying it right away on real data by just copying a tutorial and then changing it so it accepts your inputs. Then play around with the parameters a

Wow, great to see a deep learning community has potential on this site. Hopefully more people make posts like this, so it can grow. :)))