On reccomendation of @chabad360 I made this its own rant.

I switched from marketing to CS (complete with a three year degree, no Bootcamp). I still went to interviews as you'd expect a marketing man to go; in a suit. Commence the weirdest interview.

$I: interviewer
$M: Me

I: "You're not the typical engineer. Can you talk to real engineers?"

M: "could you elaborate"

I:"you're dressed in a suit. That leads me to think you're a MS user. Do you think you could talk to real, ie. Linux using engineers?"

M: " well, I haven't used windows in about a year soo..

I: "Mac isn't Linux."

M: "I'm aware. I've switched to Ubuntu so I could use KVM-QEMU android emulator with GPU pass through to train Deep Convolution Networks on mobile devices. Also had to compile Google's internal build tool because it had bugs I had to fix so I could compile the APK."

I: "ah, Ubuntu eh? **Insert Smirk** How about a follow-up?"

M: "no, I'm switching to Gentoo this week and would like to talk to real engineers about that."

I thanked him for the coffee and left.

Holy duck, I lost two days on a convolutional autoencoder splitted in two separate neural networks to encode and decode separately, it reconstruction had some strange behaviours. I was giving as input an image and then saving the encoded compressed representation in a new image, in this way I could decode it with the decoder whenever I want saving space.
How much retarded am I?
The internal layer's weights hadn't constraints so in learning phase the convolutional filters can contain any number, positive > 255 or even negative and I cannot save it in a new image as they are so they were clipped automatically between 0 and 255 with an huge information loss.
It's so frustrating when you rewrite the code in any possible way, you obtain the same wrong result and then you realize that was a borderline behaviour of a third part library.

Walking past a conversation with people and over hearing the term CNN, thinking its about Convolution Neural Networking. Long story short. Im standing here between people discussing news resources. Fml

I have to implement DSP using Convolution, FFT. And for the past 2 days I have like a million tabs open in Chrome and half of the titles end with ".... for dummies" :D

At least I'm learning something new and when I understand what the math behind those terms does I feel awesome :D

Didn't really know how to categorize, bit of a question/discussion/curiosity, so I put it here.🤷

Just today I read an article that stated about the Netherlands, where the police will use an "AI surveillance camera" (yey buzzwords incoming 🙄, but it would actually make sense(?)🤷) to detect and punish drivers, holding a smartphone. Pictures without smartphone shall be deleted. How would this system work without having non-smartphone pictures? It needs to build a classifier, doesn't it? (To be clear, the system only reports those images to an officer for further analysis and actions.)

I mean let's consider that the images are somehow pre-processed, then some convolution(s) for feature extraction, then maybe some more intermediate steps and at the end apply the results on a classifier. How would that classifier work? Would a probability between 0 and 1 suffice? And if so, report those from 0,5 and above? Or would there be better techniques?

I JUST WANT TO FUCKING EXCLUDE A DIRECTORY....

I run the code cleaner tool, OH CHRIST it's trying to sanitise the automatically generated code, I don't want this.

I try to exclude... takes ages to work out that while specifying the dirs is absolute you can only exclude relative but from what? I want to block a/b but not a/c/b but no it's all you can only block all b b it a/b, b/b, c/b, c/b, a/c/b, etc.

I google for other solutions, nothing but trash, docs a trash, here's some examples but we don't tell you the actual behaviour. All I want is to get everything in /home/hilldog/emails but not /home/hilldog/emails/topsekret how hard can it be?

I use the source but what's this, BeefJerkyIteratorIteratorBananaSpliterator all over the shop how much convolution and LOC does it take to provide a basic find facility?

Screw this...

$finder->in(explode("\n",trim(exec('find '.escape_args(...$good).' -type d ' . implode('
-o ', prefix('\! -wholename', escape_args(..$bad))) . ' -etc | grep -vETC \'pretty_patterns\''))))