/ResNet50

The implementation of resnet 50 with pretrained weight, used for transfer learning.

Primary LanguagePython

ResNet50

The implementation of resnet 50 with pretrained weight, used for transfer learning of other objectives.

Introduction

The implementation is followed https://arxiv.org/abs/1512.03385, https://github.com/KaimingHe/deep-residual-networks, and http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006.

Model

Pretrained weight can be found in https://drive.google.com/file/d/1chAlhRacVO2Oxz9WHZiuWSlAgUtwcSGt/view?usp=sharing

How to use

Just run runner.py with saved model

Environment

Python 3.5 tensorflow 1.5.0

Reference

  1. https://github.com/machrisaa/tensorflow-vgg
  2. http://www.deeplearningmodel.net/
  3. https://github.com/dalgu90/resnet-18-tensorflow