代码notebook+数据集
.DS_Store
8KB
tools
cifar10_dataset.py
1KB
common_tools.py
6KB
resnet.py
5KB
__pycache__
cifar10_dataset.cpython-36.pyc
2KB
common_tools.cpython-36.pyc
5KB
resnet.cpython-36.pyc
6KB
src
resnet_inference.py
4KB
train_resnet.py
5KB
01_parse_cifar10_to_png.py
2KB
data
imagenet1000.json
24KB
tiger cat.jpg
30KB
Golden Retriever from baidu.jpg
80KB
imagenet_classnames.txt
43KB
notebook
4_results_analysis.ipynb
1KB
3_common_tools.ipynb
33KB
2_resnet_arch.ipynb
23KB
1_inference.ipynb
442KB
0_课程总览.ipynb
5KB
imgs
g-vs-resnet.png
191KB
review1.png
65KB
loss.png
30KB
data.png
21KB
prj_struct.png
29KB
cifar10.png
83KB
residual.png
23KB
loss-acc.png
120KB
arch1.png
132KB
dataset.png
509KB
resnet20-results.png
77KB
acc1.png
27KB
Confusion_Matrixtrain.png
52KB
acc.png
122KB
.ipynb_checkpoints
3_googlenet_arch-checkpoint.ipynb
36KB
2_resnet_arch-checkpoint.ipynb
19KB
3_common_tools-checkpoint.ipynb
33KB
4_results_analysis-checkpoint.ipynb
1KB
1_inference-checkpoint.ipynb
482KB
0_课程总览-checkpoint.ipynb
5KB
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