forked from ecker/DL-Art-School
This is meant to be a variant of SPSR5 that harkens back to the simpler earlier architectures that do not have embeddings or ref_ inputs, but do have deep multiplexers. It does, however, use some of the new conjoin mechanisms. |
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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 | ||