forked from ecker/DL-Art-School
- Checkpointed pretty much the entire model - enabling recurrent inputs - Added two new models for test - adding depth (again) and removing SPSR (in lieu of the new losses) |
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| .. | ||
| archs | ||
| experiments | ||
| layers | ||
| steps | ||
| __init__.py | ||
| base_model.py | ||
| ExtensibleTrainer.py | ||
| feature_model.py | ||
| loss.py | ||
| lr_scheduler.py | ||
| networks.py | ||
| novograd.py | ||
| SR_model.py | ||
| SRGAN_model.py | ||