So, as I mentioned previously at some point I have been working on making researching deep learning and all that fun stuff. Turns out most of the things that we think deep learning can do, it actually can not do. Which is honestly hysterical, like the horrors of Terminator happening is only possible if they are mathematically possible. So like, it’s not some much of a big concern. For my deep learning project that I am working on and trying to figure out and all that fun jazz there is something quite interesting I have discovered. Basically the major of deep learning is figuring out what mathematical noise is like other mathematical noise and pointing to it and saying “haha! This equals this!” And they could be completely different from each other in every way. That is essentially what deep learning for the public and all that fun stuff is, which honestly is hysterical. Humans really figured out some math to turn hot garbage into other hot garbage. How that is even possible, is still do not understand. Whatever the case may be, its quite hysterical to think that you can convert something like audio into a picture and do this with thousands of pictures and compare them and say “hey! those are similar!” And then be able to compare them to never before seen garbage and suddenly you have something that can identify garbage with garbage because math. It is so fucking stupid that it is genius. Like, understanding how the math works is hysterical, and understanding the theory behind it is also really fucking funny. I absolutely hate it but absolutely love it. I am going to need to work on it some because holy cow it’ll be really funny for me to explain more so in-depth once I have figured out how to make it. The damn mechanisms are the hardest part. I guess we shall try to take audio’s and label them and all that fun stuff in order to try and figure out what the hell we will be doing in the future. For now, I am off to the land of working on stupid garbage to make more garbage, wish me the best of luck!

Thank you for your time and thank you for reading!

-Ben