Fizz Buzz in Tensorflow
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Fizz Buzz in Tensorflow
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Re: Fizz Buzz in Tensorflow
#2haha
Re: Fizz Buzz in Tensorflow
#3interviewer: How far are you intending to take this? me: Oh, just two layers deep haha
Re: Fizz Buzz in Tensorflow
#4Re: Fizz Buzz in Tensorflow
#5For someone who is truly a senior programmer, they knock it out in about 30 seconds and we move on. For the ones who pretend to be senior programmers on their resume, it trips them up and I know right away that their resume is either a pack of lies or their previous coworkers were helping them a lot more than they let on.
If I had actually had this person, I would have probably laughed as soon as he did the imports, said, "clearly you think this is a silly question" and then explained why I ask that question. Hopefully we could have moved on from there.
Re: Fizz Buzz in Tensorflow
#6Re: Fizz Buzz in Tensorflow
#7This whole thing is making fun of asking fizz-buzz to a senior programmer, but yet I've found it to be one of the best phone screen questions possible. For someone who is truly a senior programmer, they knock it out in about 30 seconds and we move on. For the ones who pretend to be senior programmers on their resume, it trips them up and I know right away that their resume is either a pack of lies or their previous c…
Re: Fizz Buzz in Tensorflow
#8Maybe the one-hot binary encoding wasn't the best feature set. Base 3 and Base 5 encodings might have worked better.
Re: Fizz Buzz in Tensorflow
#9Maybe the one-hot binary encoding wasn't the best feature set. Base 3 and Base 5 encodings might have worked better.
Stupid question: We are trying to train the network how to calculate modulus of division. Of a binary encoding. Why should we expect this to be learnable in only two layers?
Re: Fizz Buzz in Tensorflow
#10Fizz Buzz in combinatory logic, that would be quite entertaining.