tinycoop

training on own data, and RMSE is nan

2

hey @okuchaiev I have been trying to train on my own data. Dataset consists of 539278 user_ids and 1551731 items. Data is super sparse. While training my RMSE: nan. Should...

Segmentation fault (core dumped)

6

I have launched EuclidesDB on local machine. Have added 48042 items into annoy index. But then I can't get similar images using `db.find_similar_image(img, ["resnet18"], 7)` ``` channel = euclides.Channel("localhost", 50000)...

Too small loss on first epoch

7

I have tried to train on icdar 2015 dataset. But loss is already 0.06 after firt epoch. Seems not all right @Vipermdl Could you please help me out?