【文件属性】:
文件名称:CondenseNet-PyTorch:Cifar10上CondenseNet的PyTorch实施
文件大小:53KB
文件格式:ZIP
更新时间:2021-04-28 14:34:17
deep-learning image-classification pytorch-implmention Python
CondenseNet-PyTorch
的PyTorch实施
目录:
项目结构:
├── agents
| └── condensenet.py # the main training agent
├── graphs
| └── models
| | └── condensenet.py
| | └── denseblock.py
| | └── layers.py
| └── losses
| | └── loss.py # contains cross entropy loss definition
├── datasets # contains all dataloaders for the project
| └── cifar10.py # dataloader for cifar10 dataset
├── data
| └── cifar10
【文件预览】:
CondenseNet-PyTorch-master
----.gitignore(1KB)
----requirements.txt(209B)
----datasets()
--------__init__.py(393B)
--------__pycache__()
--------cifar10.py(4KB)
----LICENSE(1KB)
----utils()
--------__init__.py(393B)
--------assets()
--------train_utils.py(670B)
--------dirs.py(422B)
--------misc.py(1KB)
--------config.py(2KB)
--------metrics.py(2KB)
--------__pycache__()
--------dataset.py(188B)
--------visualize_graph.py(3KB)
--------logger.py(53B)
----README.md(3KB)
----configs()
--------condensenet_exp_0.json(944B)
----run.sh(175B)
----graphs()
--------__init__.py(393B)
--------weights_initializer.py(513B)
--------models()
--------losses()
--------__pycache__()
----agents()
--------__init__.py(393B)
--------__pycache__()
--------condensenet.py(9KB)
----main.py(851B)