8:00pm – 12:00pm, plus an hour on the 9th
- Spent much time trying to figure out why the PDF wouldn’t print on the website from the LaTex file. As a result, I learned how to read the log file, fixed some image scaling issues, and learned to be VERY careful in checking the cases in the files. Also, as per here, I learned how to take the bib file and convert it to a bbl file, which can then be pasted into the tex file resulting in a single file for submission. No errors, and only minor quibbles on citations!
- And this – Open sourcing Sonnet – a new library for constructing neural networks
- It’s now nearly a year since DeepMind made the decision to switch the entire research organisation to using TensorFlow (TF). It’s proven to be a good choice – many of our models learn significantly faster, and the built-in features for distributed training have hugely simplified our code. Along the way, we found that the flexibility and adaptiveness of TF lends itself to building higher level frameworks for specific purposes, and we’ve written one for quickly building neural network modules with TF. We are actively developing this codebase, but what we have so far fits our research needs well, and we’re excited to announce that today we are open sourcing it. We call this framework Sonnet.
- Code page