TensorFlow Project Showcase

TensorFlow Project Showcase aims to encourage everyone to explore the possibilities of Machine Learning using TensorFlow, an end-to-end open source platform for machine learning. This initiative aims to showcase Filipino talents in building applications that uses the capabilities of Machine Learning.

TF Showcase

Mechanics

  1. Participants can either be individuals or teams. Teams should consists of not more than three (3) members.
  2. Participants can submit multiple entries provided that all of them meet the eligibility criteria/ requirements.
  3. Participants must completely fill out and submit the Project Submission Form. The extended application deadline is on March 19, 2021.
  4. Applications submitted should be your own original work and haven’t been submitted to any contest. You can submit past projects or you can completely build a new one.
  5. Applications submitted to the contest should be publicly accesible via web or mobile, and must be an open-source project. Code should be uploaded to any publicly acessible repository such as Github.
  6. The winner will be selected based on a panel judging and public votes.

Judging Criteria

  • Functionality (30%): Does the app work? Did the team achieve the goal they defined? Was the solution innovative?
  • Technology (40%): How technically impressive was the app? Was the app built difficult? Did it use a particularly clever technique? Did the technology involved make you go “Wow”?
  • Design (20%): Did the participant put thought into the user experience? How well designed is the interface?
  • Public Vote (10%)

Prizes

  • Winners will receive a support to take TensorFlow Developer Certificate which is worth 100USD
  • All accepted applications will also get a chance to win prizes such as Google Home Mini and Chromecast through our raffle!

Contest Schedule

Date Activity
October - November 2020 Training and Workshop
March 19, 2021 Extended Deadline of Application Submission
March 22 - 26, 2021 Panel Judging and Public Voting
March 27, 2021 Networking Event
March 28, 2021 Announcement of Winners

Trainings and Workshop

Training Module Speaker Recording Link
Building your First Neural Network on TensorFlow Rodolfo Ferro YouTube Facebook
Image Classification in TensorFlow Rodolfo Ferro YouTube Facebook
Sequences, RNN in TensorFlow Yogesh Kulkarni YouTube Facebook
Building a TensorFlow Lite App Henry Ruiz YouTube Facebook
Text Classification in TensorFlow Thierno Ibrahima YouTube Facebook

Resources

Supported By

Google Developers