Omg, really ? That makes sense ! I just accepted the mouse thing as a willy wonka side effect. Didn’t realize this could be a part of the history
Omg, really ? That makes sense ! I just accepted the mouse thing as a willy wonka side effect. Didn’t realize this could be a part of the history
Never heard of that in German. It’s just marshmallows with a generic German accent instead. But it’s cool to learn something new. Which region says that, OP?
Thanks for the uplifting words ❤️
Yeah, I’ve seen the movie. The best cluster fuck experience I could ask for. I still do not know what the donut was all about. 😅
I am “exponentially” better at nothing in comparison to others. There’s always this one kid, who will do whatever I do, far better than I can ever do.
Disclaimer: I’m not trans myself. My experience/opinion is formed by listening to my trans friends and observing their experience.
Berlin is largely leftist with some anarcho spaces. Trans acceptance is mandated entry requirement. I’m sure some ahole wiggles in occasionally but I’ve seen others get very vocal and kick them out immediately. I would say it’s an accepting place with several social events geared towards the LGBTQ community. A friend of mine is from the US too and she came to Berlin because of the issues she faced in her home country as a (trans) woman. It’s been about a decade since she got here. I can find out about some forums, spaces you can talk / ask questions in. I don’t want to presume the details and speak for the trans community. Shall I look into it and pm you ?
Queer German woc here. And in tech too ! :D Yes, I do find it conservative. I live in Berlin. For all the hate that non Berliners like to lay on Berlin, it’s an accepting vibrant place. And if you are vegan, you’ll be spoilt for dining options. Vietnamese is crazy good here. And, concerts, there are multiple shows for different genres practically everyday. And several of them at sort of low-key underground places with their own charm. Berlin has its pitfalls but I don’t underestimate the peace of not being stared at constantly for just living my life. Oh, and racism in rural areas: If you ain’t white, enjoy some extra stares even when grocery shopping. Living outside the ring zone will give you the relatively quiet life you want. Rent is not cheap though. Cheaper than Munich though. But the rental crisis here is no joke either. There are some fun hacker and maker spaces here in Berlin: xhain and cbase for example that could be interesting for you. One thing I do live about Munich: if you are a hiker / mountain climber, that place is excellent. So many mountains and trails are nearby !!
Would you be able to afford remote workcation kinda thing ? You can test out the cities and see how you vibe with it.
I am reading ‘attention is not all you need’ https://arxiv.org/abs/2103.03404
I had read this paper in the past but felt the need to refresh my memory and look at self attention with mildly critical lens. Afaik, this paper talks about attention networks without surrounding structures like MLP, skip connections etc and its behaviour.
Start with learning what is supervised classification. Yes, those differentiate between car and dog projects are the starter packs. You can’t straight up jump to the problem you have. If you do, you will neither understand not be abl to debug issues you will encounter.
Next , create your training , test and evaluation data. For this, you will need some human experts to look at 1000s of images and label them as “good” or “bad”.
When you have sufficient data read to go, start training an architecture that suits you. Keep tuning it and test it on test data. When you find acceptable performance, go ahead and use it in your production line.
What I said is the rough outline. You need to pad it with courses on theory in probability and calculus at the very list. There are plenty courses in Coursera to start with. And you should definitely not avoid theory and jump straight into the task cause you won’t be able to identify or rectify errors you see during training especially the tricky ones.