mmeeh
mmeeh t1_je9hohs wrote
Reply to comment by mmeeh in State of the art for small dataset next vector prediction models? by x11ry0
Also, sounds more like a Reinforcement Learning problem rather than LSTM.
mmeeh t1_je9hfuo wrote
Why don't you dump this on ChatGPT and get a way more accurate answer ?
mmeeh t1_jdusxmd wrote
Reply to comment by AI-without-data in Training only Labelled Bbox for Object Detection. by AI-without-data
each of this BBOX has a label when you are training with yolov, you can just write some code that identifies the BBOX which have the label of chair so you can exclude them from the dataset
mmeeh t1_jdupe4m wrote
Either you label the chairs in the non-labelled images or you remove the chairs from the labelled images... You can try some thechniques of image manipulation to remove the non labelled chairs but unless you use photoshop or some high advanced AI to remove those chairs, it's a really bad idea to use that dataset to train a model to recognize objects that include chairs....
mmeeh t1_jbwcubc wrote
Reply to How to code a PPO neural network in java by SpigotNerd
oh no, not java -_-
mmeeh t1_j3avzl1 wrote
Reply to Tracking keras experiments by liberollo
Check out the website neptune ai. I'm not paid to say it but they are pretty awesome.
mmeeh t1_j13urkr wrote
Reply to comment by CKtalon in [D] Running large language models on a home PC? by Zondartul
256 GB :O
mmeeh t1_jed5sr9 wrote
Reply to comment by x11ry0 in State of the art for small dataset next vector prediction models? by x11ry0
yeah, anything with memory can help ur case, all this algorithms are expensive in computations