價格：免費
更新日期：2018-02-26
檔案大小：因裝置而異
目前版本：因裝置而異
版本需求：Android 因裝置而異
官方網站：mailto:devin.stoen4.0@gmail.com
Email：https://docs.google.com/document/d/e/2PACX-1vQfefCWQP6jJfMGf08vATB_qP1nf7QHMzIeY4eBmGby4Qyrg7aXAlSS6MCw-kUno_fNe6nRLELc3lDr/pub
This app uses deep learning to classify a given screenshot of the video game "INSIDE" (by Playdead) and provides users with a video walk-through hint on how to proceed through the various puzzles.
This project was inspired by the University of Washington/NVIDIA Winter-Spring 2017 EE 497-498 entrepenuerial capstone project.
Demo URL: https://www.youtube.com/watch?v=jFVDtwrJ05Y&feature=youtu.be
Mobile Application created by: Devin Stoen (stoend@uw.edu)
NVIDIA/UW capstone members: Devin Stoen, Catherine Feng (catfeng0219@gmail.com), Ben Robaidek (benro@uw.edu), Haonan Wang (helen461@uw.edu)
Mentored by: Roger Allen (RAllen@nvidia.com) and Brian Nelson (nelson@ee.washington.edu)
Tools and Technologies:
-Keras (Tensorflow)
-Python3.5
-Android SDK
-Java
-XML
-YouTube Android Player API
