dandermotj

In the EU we have the incoming GDPR to legislate for (and penalise) data breaches like this. This directive is very clear and detailed on how data should be collected, securely stored and disposed of. US law is a decade behind the EU.

Googling LeNet, Reset, AlexNet or other well known architectures will provide you with links to the network weights.

I'm always a bit disappointed that yhat indiscriminately used 'ggplot' for the python package name. Using a variation on the name would have been more considerate.

This is definitely a scientific paper. Pretty much no scientific paper comes with source code and the majority of scientific papers are not reproducible without an entire university department of resources anyway.

As an Irish and European person, I want you to know that your comment is misinformed and misleading. Global tax avoidance and evasion by multinationals has no relation to the formation of the EU, and the Irish government are at a gigantic economic loss (not advantage) as a result.

Breaking the spirit of the law, but not the letter.

I like to think about it this way. By not explicitly imposing a prior, you are implicitly imposing a prior that each item will receive no votes. This is totally non sensical because of course these items will get votes.

Just because we don't know what the true value of p will be doesn't mean we don't have some expectation. If I asked you what you expect the popularity of a given item will be, you won't say 0, you'll say something like the average. So why assume all items will have 0 votes in our model?

Say hello to the military-industrial complex

Consumption through spending is economically beneficial to everyone. You misunderstand what 'trickle down economics' is.

Clickbait, but great results all the same

Thanks :D

Hi Chris, firstly thanks for all the work you've done publishing brilliant articles on supervised and unsupervised methods and visualisation on your old blog and now in Distill.

This question isn't about feature visualisation, but I though I'd take the chance to ask you, what do you think of Hinton's latest paper and his move away from neural network architectures?