ResNet-50 in Tensorflow

ResNet-50 model writtern entirely in tensorflow.

Directory Structure

Project
|-- datasets
|   |-- dev_set
|   |-- test
|   |-- test_set
|   |-- train
|   `-- train_set
|-- models
|-- submissions
|-- datalab.py
|-- dataset_clusterer.py
|-- util.py
|-- make_file.py
|-- model.py
|-- predict.py
|-- test.py
`-- train.py

Model

Usage

Run python dataset_clusterer.py to make batches of train data and test data and save them in ./datasets/train_set and ./datasets/train_set respectively.

Run python train.py to train the model and save it to ./models/

Run python predict.py to make probability predictions and save the output to ./submissions/sub_1.csv