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Update Keras/keras-cv/examples/training/classification/imagenet/training_history.json, README.md 

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1 简介
该测试用例为keras版本分类网络测试，使用TFrecord格式的ImageNet数据集
2 环境部署要求
DTK22.04.2
TensorFlow-2.9.0
3 安装
执行 python setup.py build
python setup.py build
测试 进入python环境 执行import tensorflow as tf
import keras_cv
4 训练执行 train_keras_cv.sh脚本或将脚本中命令单独取出执行
\ No newline at end of file
Keras/keras-cv/examples/training/classification/imagenet/training_history.json
View file @ 3262adde
{
"densenet121": {
"v0": {
"accelerators": 2,
"accelerators": 4,
"args": {
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},
"contributor": "ianstenbit",
"epochs_trained": 84,
"lr": "0.05",
"epochs_trained": 90,
"script": {
"name": "basic_training.py",
"version": "90d4c3548a2e989fe52d6cf7ae7439af794f0ae6"
"name": "basic_training.py"
},
"tensorboard_logs": "https://tensorboard.dev/experiment/K5Q0gAk0RayXwP0WsLPpMA/",
"validation_accuracy": "0.6771"
"validation_accuracy": "0.7019"
}
},
"densenet169": {
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"accelerators": 4,
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},
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"epochs_trained": 50,
"script": {
"name": "basic_training.py",
"version": "90d4c3548a2e989fe52d6cf7ae7439af794f0ae6"
},
"tensorboard_logs": "https://tensorboard.dev/experiment/aQIvxQEgTqajldKxp688Nw/",
"validation_accuracy": "0.6613"
}
},
"densenet201": {
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"validation_accuracy": "0.7469"
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"validation_accuracy": "0.7527"
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}
},
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"validation_accuracy": "0.7612"
"validation_accuracy": "0.7387"
}
},
"script_authors": {
"basic_training.py": [
"ianstenbit",
"DavidLandup0"
]
}
}
README.md
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......@@ -15,6 +15,7 @@ DCU深度学习样例
| TensorFlow | v1.15 | Yes | FP32/FP16 | Yes | ResNet50/VGG16/Inception-V3/MobileNet-V2 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow/ComputeVision/Classification) |
| TensorFlow | v2.7 | Yes | FP32/FP16 | Yes | ResNet50/VGG16/Inception-V3 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/TensorFlow2x/Classification) |
| PyTorch | v1.10 | Yes | FP32/FP16 | Yes | ResNet50/Vgg16/Inception-V3/MobileNet-V2 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/tree/main/PyTorch/Compute-Vision/Accuracy_Validation/ResNet50) |
| keras | v2.9 | Yes | FP32 | Yes | Densenet121/Efficientnetv2s/ResNet101/DarkNet53/RegNetX064/resnet50v2 | [classfication](http://10.0.50.24/dcutoolkit/deeplearing/dlexamples_new/-/blob/main/Keras/keras-cv/examples/training/classification/imagenet) |
<br>
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