> and have little to do with the specifics of the company itself.
You are kidding me. The Elon Musk fanboyism is strong on HN. Of course it has everything to do with his company. He presented Tesla as a valuable company and created expectations. Those expectations are being corrected with a price drop. Had he not inflated Teslas ability, this would have never happened.
> and have little to do with the specifics of the company itself.
You are kidding me. The Elon Musk fanboyism is strong on HN. Of course it has everything to do with his company. He presented Tesla as a valuable company and created expectations. Those expectations are being corrected with a price drop. Had he not inflated Teslas ability, this would have never happened.
The higher the stated minimum wage gets, the lower the real minimum wage gets. You can be certain all other expenses will increase and job benefits will decrease to compensate.
Using only facial recognition cannot identify a person in the world. However, combined with one or two GPS points (photo geotags), you can get pretty damn close.
Yes. We do the exact same with disabled students. Yet no one talks about them. I suppose because it is because "looking out for the poor" makes people feel good.
You can learn how your roommates parents started a billion dollar company (i.e. How to be successful) at Harvard. You can't at your state school -- because your roommates are playing video games or went downtown for the night.
Why does selection bias even matter? If you go to Harvard, you will make more than had you gone to a boring state school. Period. Is there selection bias? Yes. Does it change the fact the Harvard kid is wildly successful? No.
They're not required to release code and a dataset. If you can get away with doing less why not? Everyone in every discipline does this. Finance, home improvement, retail, consulting...
> Do the multi-dimensional matrices that exchange data between the nodes transform like tensors?
Yes, if you design the moeel/graph that way.
> If so, when does the need arise to transform them?
The need arises whenever tensors are needed. For deep learning, most people treat them like multidimensional arrays. TensorFlow is an excellent name.
Multidimensional arrays are a thing of the past. Now we call them tensors. Get with the program or become an aging, forgotten physicist not involved in deep learning.
You are kidding me. The Elon Musk fanboyism is strong on HN. Of course it has everything to do with his company. He presented Tesla as a valuable company and created expectations. Those expectations are being corrected with a price drop. Had he not inflated Teslas ability, this would have never happened.