iluvmylife

4 ms·

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by iluvmylife 9y ago
This is great to see! It's popular to apply AI to healthcare, transportation and legal work. However, these fields are heavily regulated, require domain expertise and data is hard to get. The nature of front-end dev and other digital s
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by iluvmylife 9y ago
I have founds apps like Coffitivity [0] that simulate coffee shop banter extremely helpul with my productivity. [0] https://coffitivity.com/
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by iluvmylife 9y ago
Often times a body transformation from one image to another results in a redefinition of the relative position and length of edges in a photo (as a person gets leaner). Do you think that the L1 regularization used in pix2pix - which is inte
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by iluvmylife 9y ago
Tensorflow does do really well when it comes to serving models in production. Tensorflow serving or TensorRT 3 are fairly throughput efficient and low latency. PyTorch, for instance, does not have a good serving solution (I guess that'
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by iluvmylife 9y ago
The averaging problem in colorization is interesting. If it learns that an apple can be red, green and even yellow - how does it know how to color it? A HN user in an earlier thread suggested to use a fake/real colorization classifier
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by iluvmylife 9y ago
If you want a more nuanced research on the history on deep learning in neural networks, here is an excellent historical survey paper: https://arxiv.org/abs/1404.7828
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by iluvmylife 9y ago
I agree! Going by the Bruce Lee quote "I fear not the man who has practiced 10,000 kicks once, but I fear the man who has practiced one kick 10,000 times". Only in this case kick = photography. There is definitely value in practic
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by iluvmylife 9y ago
What did you use to create this? Anyone have good recommendation for mind map tools?
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by iluvmylife 13y ago
I made a super simple paid Android app with a list of interesting Physics Puzzles ( https://play.google.com/store/apps/details?id=com.boredominn... ). Took a month to make and now it is completely passive. Brings in