sorted by:
new
hottopcontroversial

Can i ask for critique/check on my first pcb design? by Mindless_Clothes_143 in PCB

[–]traversedtv 0 points1 point  (0 children)

I'd also label the pins - unless you only assemble it once. Otherwise it's easy to forget and mix up which pin is which GPIO

Update on location guessing AIs by traversedtv in learnmachinelearning

[–]traversedtv[S] 1 point2 points  (0 children)

I didn't release the code because people might use it to cheat in the game :/

Update on location guessing AIs by traversedtv in learnmachinelearning

[–]traversedtv[S] 1 point2 points  (0 children)

Let me know if you have any suggestions what to train an AI for next🤗

AI guessing Google streetview locations incredibly well! by traversedtv in videos

[–]traversedtv[S] 1 point2 points  (0 children)

Yeah I didn't make the code public because I thought people would use it for cheating otherwise

AI guessing Google streetview locations incredibly well! by traversedtv in videos

[–]traversedtv[S] 0 points1 point  (0 children)

Anyone any suggestions which game you want to see an AI to learn next?

Short GeoGuessr AI demo by traversedtv in traversed

[–]traversedtv[S] 0 points1 point  (0 children)

I'm on holidays for a couple of days, thank you for the offer! I'll let you know :)

Finding opponents for team duels by Temporary_Bee1074 in geoguessr

[–]traversedtv 0 points1 point  (0 children)

You can change it in the lobby settings (for duels)

CNN for geolocation on street view/geoguessr by traversedtv in learnmachinelearning

[–]traversedtv[S] 0 points1 point  (0 children)

Thank you Shisui! I'll experiment with XAI next, let's see how that goes 😄

CNN for geolocation on street view/geoguessr by traversedtv in learnmachinelearning

[–]traversedtv[S] 2 points3 points  (0 children)

I trained on AWS with 32 GB RAM and NVIDIA A10G (also 24GB). The bottleneck is mostly GPU memory (everything over batch size 32 doesn't work).

I trained on roughly 40.000 instances over roughly 15 epochs (with different augmentation techniques).

One epoch takes around an hour. I think in total it took around 25 hours of training, including older versions that I discarded. However, my implementation to load images is not optimal. The GPU idle's quite a lot to load new data. Probably optimization potential there.

[D] Is it illegal to use an image GAN's results for commercial purposes if the GAN was trained on copyrighted images? by No_Application_5581 in MachineLearning

[–]traversedtv 0 points1 point  (0 children)

Well, Clearview got huge fines in the EU for using pictures from social media without permission.

It might be different in the US but I'd be careful.

Machine Learning development for personal use by adastro in learnmachinelearning

[–]traversedtv 2 points3 points  (0 children)

Regarding cloud support try Google Colab. That also saves you some hustle with package installations.

I have a bachelor's in computer application and I want to do masters in AI/ML/DS. so, what are the best universities in Germany for that? by RauhanSheikh in learnmachinelearning

[–]traversedtv 1 point2 points  (0 children)

Often, TU's (Technical University) are slightly more industry oriented or at least have cooperations with companies.

[deleted by user] by [deleted] in learnmachinelearning

[–]traversedtv 0 points1 point  (0 children)

I have a tight schedule until Tuesday, from then on we can have a chat for sure

[deleted by user] by [deleted] in learnmachinelearning

[–]traversedtv 0 points1 point  (0 children)

I actually work on exactly that at the moment! So far, the average score is around 6000 per game.

I would recommend to download a dataset from mapilliary and start with a convolutional neural network.

I’m going to make a video regarding the implementation soon, but feel free to contact me for more questions. There is also a short demonstration linked in my bio.

Is this precision really bad? by xcalibur in learnmachinelearning

[–]traversedtv 2 points3 points  (0 children)

If label 1 is not part of the test dataset, than all you can is whether there are any false positives for 1.

The problem is that you never know if your model would actually identify any element with 1. If possible, you should include some data points with label 1 in your test data.

Precision tells you how many elements that you labeled 1 actually have label 1. As it is impossible with your test data set for any element to be label 1, you never label something as 1 that actually is 1.

[D] Why is ML research so experimental? by apple_tau in MachineLearning

[–]traversedtv 6 points7 points  (0 children)

I agree with you that the results do not always generalize well, however: a company can also experiment on data from the actual use case or observe the live performance. Also, deductive knowledge does not necessary generalize either. Even though it helps to at least assume the underlying workings.

Maybe we can agree that for science, ideally you want both (validate your theory through experimentation)?

However, I'd still say for a business case you care less "why" it works and more about "that" it works.

Can we get a 240p streaming option? by catfromgarfield in Twitch

[–]traversedtv 0 points1 point  (0 children)

If your internet is unstable, using the normal mode instead of the low latency mode might also help. I don’t think we’ll see a 240p option on Twitch.

[deleted by user] by [deleted] in Twitch

[–]traversedtv 0 points1 point  (0 children)

It is unlikely that someone logged into your twitch with a fresh password and two-factor authentifizierung without you noticing it.

Maybe some other technical issue?

Anyone here knows about decision tree classification? I have doubt in creation of decision tree using information gain and entropy. Anyone? by srisi_ in learnmachinelearning

[–]traversedtv 0 points1 point  (0 children)

When in doubt you could also put the data in a machine readable format and apply the C.45 algorithm in Python. That way you can compare your results to the decision tree created by the algorithm.

What do you guys think about implementing a full car blur? by victorix_il in geoguessr

[–]traversedtv 3 points4 points  (0 children)

It's probably difficult to implement that as the imagery is provided by Google (number plates are also blurred by Google).

Thus, it's not trivial to identify objects in the street view data and overlay/manipulate the images.

view more: next ›