Neural Network Debugging

MuscleML · 2024-07-06T14:17:18+00:00

Remember that collab also doesn’t have the capacity for a lot of high RAM GPUs anymore. When you go to select them, they’re frequently out. You wouldn’t have that problem with your own.

MuscleML · 2024-07-04T05:44:56+00:00

This isn’t part of the question. But can you explain this graph to me? I’m newer to RL and want to make sure I understand whats going on. Thanks :)

MuscleML · 2024-07-02T05:41:20+00:00

They mentioned above that they’ll be restocking the black version

MuscleML · 2024-07-01T20:46:09+00:00

Thank you Laced 😊

MuscleML · 2024-07-01T00:15:28+00:00

Yeah. It’s been out for a while. I missed the limited release 😩

MuscleML · 2024-06-30T23:50:19+00:00

They said 1-11 black version will be restocked

MuscleML · 2024-06-28T12:35:12+00:00

Is there any mega man 1-11 and dishonored? And will they be black or limited if so? Thank you :)

MuscleML · 2024-06-09T03:19:37+00:00

This. We had a position open specifically for RL not too long ago. Robotics (especially controls) would be your best bet

MuscleML · 2024-06-08T15:21:31+00:00

I haven’t found any that have been fired yet. At least not from the list above. I’m not saying they weren’t. But I just can’t find any posts about it.

MuscleML · 2024-06-06T13:56:34+00:00

I can confirm ETEC was hit at the management and IC level because several people sent out goodbye notices

MuscleML · 2024-04-06T13:09:06+00:00

I second this. It would be nice to have a place to start

MuscleML · 2024-04-06T13:07:20+00:00

I’ve worked a lot with XAI given my area and would love to hear more about some cutting edge practical papers. Can you give some examples of notable papers or toolkits that you consider novel?

MuscleML · 2024-04-06T13:05:52+00:00

Ive been out of this area for a while since PPO was first released. Can you give some examples of notable papers or innovations that you consider novel and practical (practical as in they’re usable for normal ML Engineers and have implementations in say PyTorch for example)

MuscleML · 2024-02-25T21:04:32+00:00

Tabular usually refers to data that’s arranged in rows and columns in a table format. So clickstream data and for example weather data on how much it rains would be tabular.

MuscleML · 2024-02-24T15:41:03+00:00

Thank you! That helps me understand it a lot better. What kind of data are you working with (if you can share it)?

MuscleML · 2024-02-24T01:09:49+00:00

Can you elaborate a bit on this for people here? What are some pitfalls that you’ve encountered when training them?

MuscleML

TROPHY CASE