In this episode, Sanyam Bhutani interviews Andrew Shaw. In this interview, they talk all about Andrew's journey into the field, his fast.ai journey, and his recent project: musicautobot. MusicAutobot is an "AI Pop Music Generator". They also briefly talk about the fast.ai DAWNBench results.
\nLinks:
\nhttps://musicautobot.com/
\nfast.ai DAWNBench: https://www.fast.ai/2018/08/10/fastai-diu-imagenet/
\nhttps://www.fast.ai/2018/04/30/dawnbench-fastai/
\nBlogposts:
\nPart 1: https://towardsdatascience.com/creating-a-pop-music-generator-with-the-transformer-5867511b382a
\nPart 2: https://towardsdatascience.com/practical-tips-for-training-a-music-model-755c62560ec2
\nPart 3: https://towardsdatascience.com/a-multitask-music-model-with-bert-transformer-xl-and-seq2seq-3d80bd2ea08e
\nPart 4: https://towardsdatascience.com/how-to-remix-the-chainsmokers-with-a-music-bot-6b920359248c
\nFollow:
\nAndrew Shaw:
\nhttps://twitter.com/bearpelican
\nSanyam Bhutani:
\nhttps://twitter.com/bhutanisanyam1
\nBlog: https://medium.com/@init_27
\nAbout:
\nhttp://chaitimedatascience.com/
\nA show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani.
\nYou can expect weekly episodes every available as Video, Podcast, and blogposts.
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