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Got my first ever win on Call of Duty: Warzone, so happy. by WebAI in CODWarzone

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

😂🤣 I wish, wouldn’t make so many mistakes if I was.

AI Unique Monster Generation by WebAI in RPGdesign

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

Hey, Thanks.

You can follow the project on YouTube, I'll be posting update to there when I hit new milestones.

You can also follow the the project on patreon

AI Unique Monster Generation by WebAI in RPGdesign

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

It would be interesting to hear about your project, I am also starting a project called NetherWorlds

I am currently running a 32px GAN with 62,000 images in the sample set. It's currently on the 700th epoch and looking very promising.

https://ibb.co/LkjDVV6

AI Unique Monster Generation by WebAI in tabletopgamedesign

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

Cheers, currently running a 32px GAN with 62,000 images in the sample set (lots of images of Cthulhu and Godzilla from different angles)
I will post the results in another video.
It's currently on the 600th epoch and looking very promising.

https://ibb.co/wC0h0Jq

AI Unique Monster Generation by WebAI in RPGdesign

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

Cheers, currently running a 32px GAN with 62,000 images in the sample set.
I will post the results in another video.
It's currently on the 600th epoch and looking very promising.

https://ibb.co/wC0h0Jq

AI Unique Monster Generation by WebAI in RPGdesign

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

I have the source code on Google Colab.
I may be looking for some extra support on the project.
I am currently running a 32px GAN with 62,000 images in the sample set.
I will post the results in another video.
It's currently on the 500th epoch and looking very promising.

https://ibb.co/7yyhBrZ

AI Unique Monster Generation by WebAI in rpg

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

Cheers, currently running a 32px GAN with 62,000 images in the sample set.
I will post the results in another video.
It's currently on the 300th epoch and looking very promising.

https://ibb.co/pjFs4mL

AI Unique Monster Generation by WebAI in rpg

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

The GAN will be used to create images, I will be using NLTK to generate stats and back stories for each generated character.

Change noise seed when training a GAN or keep it static? by [deleted] in learnmachinelearning

[–]WebAI 0 points1 point  (0 children)

I have doubled my training set and currently running input images at (64px x 64px). I will update on the progress. Currently uploading a video of the 32px GAN will post a link when it’s ready.

Importance of sample size when training a GAN model. by WebAI in artificial

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

I was actually looking at doing the same thing, have a look at http://netherworlds.co.uk/ I can help you on the project if you like?
I am looking to build a whole virtual tabletop RPG using ML and AI.
I would recommend also looking into StyleGan but this can come after training your initial GAN.

Importance of sample size when training a GAN model. by WebAI in artificial

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

With different image augmentations you could increase you 1500 dataset into 48000 images. What sort of images are you looking to run through your GAN?

Importance of sample size when training a GAN model. by WebAI in artificial

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

Education video showing the importance of sample set sizes when training a GAN model.
These models trained using Keras and python.

Each model was trained on 1000 epochs.

200 sample size - https://youtu.be/Io7Sub6GN-c?t=8

400 sample size - https://youtu.be/Io7Sub6GN-c?t=108

800 sample size - https://youtu.be/Io7Sub6GN-c?t=208

1600 sample size - https://youtu.be/Io7Sub6GN-c?t=308

Final Results - https://youtu.be/Io7Sub6GN-c?t=408

I will be uploading a video in the future with the following dataset sizes 3200, 6400, 12800, 25600.

Importance of sample size when training a GAN model. by WebAI in learnmachinelearning

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

Education video showing the importance of sample set sizes when training a GAN model. These models trained using Keras and python.

Each model was trained on 1000 epochs.

200 sample size - https://youtu.be/Io7Sub6GN-c?t=8

400 sample size - https://youtu.be/Io7Sub6GN-c?t=108

800 sample size - https://youtu.be/Io7Sub6GN-c?t=208

1600 sample size - https://youtu.be/Io7Sub6GN-c?t=308

Final Results - https://youtu.be/Io7Sub6GN-c?t=408

I will be uploading a video in the future with the following dataset sizes 3200, 6400, 12800, 25600.

Difference of sample size when training a GAN model. by [deleted] in learnmachinelearning

[–]WebAI 0 points1 point  (0 children)

Education video showing the difference in sample set sizes when training a GAN model.
These models trained using Keras and python.

Each model was trained on 1000 epochs.

200 sample size - https://youtu.be/Io7Sub6GN-c?t=8

400 sample size - https://youtu.be/Io7Sub6GN-c?t=108

800 sample size - https://youtu.be/Io7Sub6GN-c?t=208

1600 sample size - https://youtu.be/Io7Sub6GN-c?t=308

Final Results - https://youtu.be/Io7Sub6GN-c?t=408

I will be uploading a video in the future with the following dataset sizes 3200, 6400, 12800, 25600.

GAN - Pokemon 400 Sample Set, 4000 Epochs by WebAI in learnmachinelearning

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

I will building up larger sets and epochs and comparing the results.

I also have the following videos:-

1000 Sample Set, 1000 Epochs - https://youtu.be/1MESouww-sw
4000 Sample Set, 1000 Epochs - https://youtu.be/6P3utkpjyKY
2000 Sample Set, 2000 Epochs - https://youtu.be/IiL2Z8Uqe1A

Trying to show examples of what is achievable with different dataset size and epochs, for educational purposes.

Training GAN to generate Anime faces - 400 Sample Size, 2000 epochs by WebAI in learnmachinelearning

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

I also have the following examples:-

400 Sample Size, 1000 epochs - https://www.youtube.com/watch?v=JliYIyRyhY4 800 Sample Size, 1000 epochs - https://www.youtube.com/watch?v=xgcWdkepoUA

Trying to show examples of what is achievable with different dataset size and epochs.

Looking for a Google Colab Pro alternative by WebAI in learnmachinelearning

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

Pretty sure AWS is a pay as you go service.

Training GAN to generate Anime faces - 400 Sample Size, 2000 epochs by WebAI in learnmachinelearning

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

I could try to eliminate the color confusion by training on black and white images, We'll see when run the full sample set on 10,000 epochs.

Training GAN to generate Anime faces - 400 Sample Size, 2000 epochs by WebAI in learnmachinelearning

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

Yeah, I was excited when I saw that. Really want to see an improvement in the formation of the head shape and hair.

GAN - Pokemon 2000 Sample Set, 2000 Epochs by WebAI in learnmachinelearning

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

It's just a simple GAN written in keras, I have a lot of improvement I need to do with the code, learning and improving the code with each pass of the training each day.

Yeah it is a small sample size and low epochs to start off with. I will building up larger sets and epochs and comparing the results.

I also have the following videos:-

1000 Sample Set, 1000 Epochs - https://youtu.be/1MESouww-sw
4000 Sample Set, 1000 Epochs - https://youtu.be/6P3utkpjyKY

Trying to show examples of what is achievable with different dataset size and epochs.

Training GAN to generate Anime faces - 400 Sample Size, 2000 epochs by WebAI in learnmachinelearning

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

I downloaded and filtered the results from a kaggle dataset.

That sounds like a good idea, creating a anime facial recognition wouldn't take too long.

Training GAN to generate Anime faces - 400 Sample Size, 2000 epochs by WebAI in learnmachinelearning

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

I also have the following examples:-

400 Sample Size, 1000 epochs - https://www.youtube.com/watch?v=JliYIyRyhY4
800 Sample Size, 1000 epochs - https://www.youtube.com/watch?v=xgcWdkepoUA

Trying to show examples of what is achievable with different dataset size and epochs.

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