Table of contents
Xlearn Transfer Learning Library
The Xlearn transfer learning library implements some tranfer learning or domain
adaption algorithms using TensorFlow. The script main.py is for both training
and evaluating the models. And it also contains some scripts for downloading and
preprocessing the data and the pretrained models.
This library is still being heavily developed. Vast changes are expected these days.
Setup
This library is Python 2&3 compatible. See requirements.txt for the detailed
dependencies. You may modify it if you want to use the gpu version of
TensorFlow.
Usage
Quick Start
Excute the following script can run Alexnet-based DAN models on the Office dataset.
# Prepare the data
sh data/office/download.sh
# Download and process the pretrained mean
python download_mean_from_caffe.py
# Download and process the pretrained model
python download_model_from_caffe.py
# Train
python main.pyMethods
Currently it only supports DAN with Caffe alexnet base-model.