What an ingenious way to covertly distribute the Pied Piper decentralized storage app.
Boy I sure hope no one does a static analysis of the binary…
How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
11–20 of 123 posts
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#12Just wanted to say thanks for the warm welcome from HN when the app was released last month — I hope this blogpost answers the questions that were raised back then. I’d be happy to answer anything else you’d like to know! Original thread: https://news.ycombinator.com/item?id=14347211 Demo of the app (in the show): https://www.youtube.com/watch?v=ACmydtFDTGs App for iOS: https://itunes.apple.com/app/not-hotdog/id12124…
Why is this not available outside the US and Canada?
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#13Just wanted to say thanks for the warm welcome from HN when the app was released last month — I hope this blogpost answers the questions that were raised back then. I’d be happy to answer anything else you’d like to know! Original thread: https://news.ycombinator.com/item?id=14347211 Demo of the app (in the show): https://www.youtube.com/watch?v=ACmydtFDTGs App for iOS: https://itunes.apple.com/app/not-hotdog/id12124…
The Android App is not available in Germany. :(
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#14Just wanted to say thanks for the warm welcome from HN when the app was released last month — I hope this blogpost answers the questions that were raised back then. I’d be happy to answer anything else you’d like to know! Original thread: https://news.ycombinator.com/item?id=14347211 Demo of the app (in the show): https://www.youtube.com/watch?v=ACmydtFDTGs App for iOS: https://itunes.apple.com/app/not-hotdog/id12124…
Why is this not available outside the US and Canada?
So the long version of this story is that the app was released in partnership with the HBO Go / HBO Now team, and using the terms of service they used for these apps (which are only available in the US & Canada). We’ve been working with lawyers to release the app worldwide without running afoul of any local laws, and I’m keeping my fingers crossed that will get cleared this week, we just gotta make sure our terms of service are up to par… After all, we wouldn’t want to fall prey to something we made fun of this very season ;) http://www.vulture.com/2017/04/silicon-valley-recap-season-4...
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#15Just wanted to say thanks for the warm welcome from HN when the app was released last month — I hope this blogpost answers the questions that were raised back then. I’d be happy to answer anything else you’d like to know! Original thread: https://news.ycombinator.com/item?id=14347211 Demo of the app (in the show): https://www.youtube.com/watch?v=ACmydtFDTGs App for iOS: https://itunes.apple.com/app/not-hotdog/id12124…
Why is this not available outside the US and Canada?
Because HBO I guess. There are a lot of contents are filtered outside of USA.
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#16great app! any plan to open source it?
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#17Wow, great writeup. This is an area that I know nothing about but have wanted to learn - seems like this post is a good starting point.
Any chance the full source will ever be opened up? Would be an excellent companion to the article.
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#18It's interesting how amenable image classification neural networks are to the "take working model, peel off last layer or two, retrain for a new application" approach. I've seen this suggested as working pretty well in a few instances.
I guess the interpretation is that the first few normalize->convolution->pool->dropout layers are basically achieving something broadly analogous to the initial feature extraction steps that used to be the mainstay in this area (PCA/ICA, HOG, SIFT/SURF, etc.), and are reasonably problem-independent.
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#19great app! any plan to open source it?
Not at the moment — although you’ll find the most critical aspects explained in detail in the post. The rest I fear will age very quickly… With stuff like CoreML and TensorFlow Lite on the immediate horizon, I can’t imagine people will want or need to use the cumbersome manual approach I had to use to ship this app. Anything in particular you’d like to see? I can try to share it in a follow-up post or in comments here.
Re: How HBO’s Silicon Valley Built “Not Hotdog” with TensorFlow, Keras and React Native
#20It's interesting how amenable image classification neural networks are to the "take working model, peel off last layer or two, retrain for a new application" approach. I've seen this suggested as working pretty well in a few instances. I guess the interpretation is that the first few normalize->convolution->pool->dropout layers are basically achieving something broadly analogous to the initial feature extraction step…
For sure, although I should say, for this specific instance I ended up training a network from scratch. I did get inspiration from the MobileNets architecture, but I did not keep any of the weights from their ImageNet training. That was shockingly affordable to do even on my very limited setup, and the results were better than what I could do with a retraining (mostly has to do with how finicky small networks can be when it comes to retraining).