From 0df51ec959d52895fbf2ba14f1e672bfb0036e1c Mon Sep 17 00:00:00 2001 From: Harry Stuart <42882697+HStuart18@users.noreply.github.com> Date: Thu, 2 Jan 2020 09:46:56 +1100 Subject: [PATCH] Update README.md --- README.md | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index d859f78..729c894 100644 --- a/README.md +++ b/README.md @@ -1,9 +1,11 @@ # tfworldhackathon GitHub repo for my Tensorflow World hackathon submission -[Video demo](https://www.youtube.com/watch?time_continue=2&v=DQDYsJXLqlo&feature=emb_logo) +[Piano demo](https://www.youtube.com/watch?time_continue=2&v=DQDYsJXLqlo&feature=emb_logo) -To replicate my results, just clone this repo and run `scripts/WGAN-GP.py` after modifying `DATA_DIR`. I used [this](http://deepyeti.ucsd.edu/cdonahue/wavegan/data/mancini_piano.tar.gz) data after converting the files to wave. +[Violin demo](https://www.youtube.com/watch?v=XcESDdsb3PU) + +To replicate my results, just clone this repo and run `scripts/WGAN-GP.py` after modifying `DATA_DIR`. I used [this](http://deepyeti.ucsd.edu/cdonahue/wavegan/data/mancini_piano.tar.gz) data after converting the files to wave. The violin data I used was just scraped from Youtube. ## Inspiration Since the inception of generative adversarial networks, I have been fascinated by their capacity to perform tasks of unprecedented complexity. They are a prime example of how machines can learn in a similar manner to humans - akin to reinforcement learning. I am also a huge fan of music and love to play the piano. So I thought, why not conflate my love for machine learning and my passion for music!?