James Betker 4328c2f713 Change default ReLU slope to .2 BREAKS COMPATIBILITY ... This conforms my ConvGnLelu implementation with the generally accepted negative_slope=.2. I have no idea where I got .1. This will break backwards compatibility with some older models but will likely improve their performance when freshly trained. I did some auditing to find what these models might be, and I am not actively using any of them, so probably OK.		2020-12-19 08:28:03 -07:00
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.idea	IDEA update	2020-05-19 09:35:26 -06:00
data	More refactor changes	2020-12-18 09:24:31 -07:00
models	Change default ReLU slope to .2 BREAKS COMPATIBILITY	2020-12-19 08:28:03 -07:00
scripts	GLEAN!	2020-12-18 16:04:19 -07:00
trainer	Add trainer readme	2020-12-18 16:52:16 -07:00
utils	Update other docs with dumb config options	2020-12-18 16:21:28 -07:00
multi_modal_train.py	More adjustments to support distributed training with teco & on multi_modal_train	2020-10-27 20:58:03 -06:00
process_video.py	More refactoring	2020-12-18 09:18:34 -07:00
requirements.txt	Update requirements, add image_patch_classifier tool	2020-12-16 09:42:50 -07:00
test_image_patch_classifier.py	More refactoring	2020-12-18 09:18:34 -07:00
test.py	More refactoring	2020-12-18 09:18:34 -07:00
train.py	Update other docs with dumb config options	2020-12-18 16:21:28 -07:00