It's now 2025 and this issue is occurring for me. The Google Chrome process is eating up 11 of 16GB of RAM and 60-80% CPU on my local machine. I am running a very small dataset (700 x 9 dataframe) through a small Dense model (3 layers, 1,380 total parameters). I am creating 522 models, executing 300 epochs each but with early dropout of 2 each model executes for about 30 epochs on average. Each model runs only sequentially through this small model, so it doesn't make sense to me that this many local resources are being used up. Happens whether I clear cache from the browser or not. I am running on a Windows machine with Intel i7 8th gen CPU, with a Nvidia Geforce GTX GPU (the gpu is not being used by Chrome, which makes sense). Screen shot attached. If anyone has any ideas, it would be appreciated.
