Intel I7-7655K, 32G DDR4, Nvidia Titan X
Xubuntu 16.04.1, CUDA 8.0, cudnn 5.1
1. Install the following components
python 2.7
numpy
scipy
pandas
matplotlib
scikit-learn
pillow
tensorflow
keras
h5py
pydot
├── data
│ ├── raw
│ ├── test
│ └── test
├── features
├── logs
├── models
├── submitions
├── utils
├── weights
├── submit.py
└── train.py 2. Download model weight files to 'weights/imagenet' 3. Download kaggle compitition data 4. Train single models and get results
Run 'python train.py -m [inception|resnet50|xception]' to get transform learning model
Run 'python finetune.py -m [inception|resnet50|xception]' to fine tune model
All model weight files are in the folder 'weights'
Run 'python submit.py -m [inception|resnet50|xception]' to get submition
All submitions are in the folder 'submitions'
5. Train blend model and get results
Run 'python blend.py -m xception resnet50 inception' to get blend result with validation
Run 'python blend.py -m xception resnet50 inception -a true' to get blend result without validation
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent