Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
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Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#2Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to?
Without a relevant job position, knowing how to implement Deep Learning is a buzzword trick for Medium thought pieces or getting $$ in funding from venture capitalists for a generic "AI" startup that no one actually understands how it works.
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#3This video has nothing to do with the title "without a PhD". It's a walkthrough of basic techniques for training neural networks on the MNIST handwriting dataset.
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#4Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to? Without a relevant job position, k…
Deep learning companies will start asking for Deep Learning knowledge on positions posted for Front-end/Back-end/Full-stack developers. It may be a bonus or may be a requirement.
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#5Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to? Without a relevant job position, k…
> There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to?
I thought it was a negative to have a PhD in SV?
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#6Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to? Without a relevant job position, k…
I think one of the only companies doing this right, and that has the resources to do this right, is facebook, as they seperate AI research and teams that are focused on putting these things into production (i.e. ML engineers vs Ml researchers). Trying to combine these two things into the same role is resulting in continued confusion and frustration. I like this Stitchfix article as an overview (http://multithreaded.stitchfix.com/blog/2016/03/16/engineers...)
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#7Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to? Without a relevant job position, k…
I think one of the only companies doing this right, and that has the resources to do this right, is facebook, as they seperate AI research and teams that are focused on putting these things into production (i.e. ML engineers vs Ml researchers). Trying to combine these two things into the same role is resulting in continued confusion and frustration. I like this Stitchfix article as an overview ( http://multithreaded.…
And this is thanks to Yann LeCun whose vast experience at Bell Labs experience has shown him how mixing engineer/business requirements/deadlines with research produces shitty results, and so he designed it this way.
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#899.3% accuracy is not that great. Currently the best performer on this data set has 99.77% accuracy:
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#9Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to? Without a relevant job position, k…
Getting hired isn't always the point. TensorFlow and other tools make deep learning a fairly accessible solution for ordinary developers to offer to customers. It lets me say "yes" (or "maybe") to requests that would not have been feasible previously.
Re: Tensorflow and Deep Learning, Without a PhD, Martin Gorner, Google [video]
#10Although TensorFlow/Keras allows anyone to implement Deep Learning easily, that doesn't mean that they will get hired for a relevant job position without a PhD. Most Deep Learning jobs, and even relatively mundane Data Scientist jobs nowadays, want a PhD from my experience. There is a surplus of Statistics/CS PhDs, why would a company hire someone without one if they do not have to? Without a relevant job position, k…
Deep learning companies will start asking for Deep Learning knowledge on positions posted for Front-end/Back-end/Full-stack developers. It may be a bonus or may be a requirement.
I would caveat this a bit. There are various kinds of "deep learning companies".
These can either be horizontal plays or product focused. For the latter it doesn't matter as much. For full stack developers domain knowledge is usually a lot more helpful there.
For horizontal plays this can matter a bit more. I run a well funded deep learning startup and we are starting to hire full stack developers next year.
I have thought about this a bit and we would be looking for people at a minimum who have dealt with some basic machine learning before. Much of the stuff in deep learning we do is displaying some sort of output from a neural network (eg: various ways of displaying a choice a neural net makes). Being able to do things like visualizing clusters is also important (this would be d3). The other part of this would be a basic understanding of being able to communicate with a data pipeline of some kind. We are java based but I'm imagining a lot of startups would be python based in this case.