jph00

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871.
by jph00 10y ago
I'm glad you liked it :) As it happens, I literally just now posted the curriculum for part 2 of the course - http://www.fast.ai/2017/01/17/curriculum2/ . If you're near SF, you may want to joi
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Practical Deep Learning Part 2 – Integrating Recent Advances and Classic ML(fast.ai)
19 points by jph00 10y ago|0 comments
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Big deep learning news: Google Tensorflow chooses Keras(fast.ai)
10 points by jph00 10y ago|0 comments
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Interview with Jeremy Howard on Deep Learning, Kaggle, Data Science, and More(kdnuggets.com)
74 points by jph00 10y ago|1 comments
875.
by jph00 10y ago
This is huge. Using CT scans to diagnose lung cancer is a really important task. Finding it early increases probability of survival by 1000%. After I founded Enlitic this was the first problem I worked on - it required making a special requ
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Data Science Bowl 2017: Can you improve lung cancer detection?(kaggle.com)
7 points by jph00 10y ago|1 comments
877.
by jph00 10y ago
Strongly agree. Andrew's course is a great choice to take before this one, if you have the time. It's not a prerequisite however. The Udacity course has a very different aim - it covers much less territory and takes much less time
878.
by jph00 10y ago
A used Dell workstation off eBay plus a GTX 1070 will get you exceptional performance for under $1000. If you want to spend less, a used GTX 980 is also a good option.
879.
by jph00 10y ago
You may well be right, and that's certainly how material is usually taught. However my reading of the literature on this topic has led me to believe that the standard treatment is not the best approach for most students. I'm parti
880.
by jph00 10y ago
I apologise if that's how my response came across. what I was trying to express is that I wish to show what I believe are best practices, and these tools are used throughout the course. I do not mean to suggest that tmux is critical, o
881.
by jph00 10y ago
Last time I checked they didn't have GPU virtual machines. So no, probably not. If there is a way to run jupyter notebooks on GPU machines on Google, I'd certainly be interested in learning about it.
882.
by jph00 10y ago
Our preference is for most questions to go through the forums. When you join the forums you'll get more information on why we think that's best for the overall community (in short, because it's easier for others to find answe
883.
by jph00 10y ago
IIRC the course details suggest it is most appropriate for a graduate level. I may be misremembering however.
884.
by jph00 10y ago
I agree with all you say here. And indeed for researchers interested in building the next stage of deep learning, such topics may be important. However this course is about teaching how to use deep learning today to solve applied problems.
885.
by jph00 10y ago
In addition to this excellent advice, I'll just add that my experience is that a 2GB CUDA compatible card is (just) enough to complete this course. Although 4GB makes life much easier
886.
by jph00 10y ago
Yes, you can get by with an AMD GPU but it'll be a lot more work, and a lot more frustration. It's worth spending the $0.90 per hour to use AWS, or less if you get spot instances. You can do much of your prototyping on just a CPU,
887.
by jph00 10y ago
There's a 1:1 relationship between likelihood functions and entropy, so a background in information theory is likely to make your understanding of loss functions come quicker.
888.
by jph00 10y ago
I strongly disagree. This has been necessary for many previous approaches, but it's not fundamental to the topic. Sometimes reading and understanding papers requires that background, I guess.
889.
by jph00 10y ago
No I'm not - but I am still a strong believer in that application.
890.
by jph00 10y ago
That's a great point - but I would like to add that the expectation is that people put in at least 10 hours a week. So the amount of material is designed to be what you can learn in 10 hours of study, with the support of the wiki and f
891.
by jph00 10y ago
They are excellent questions and that indeed is exactly the goal of this course. I hope you try it out and let us know if you find the answers you need. For this particular question, a model that does localization and then integrated classi
892.
by jph00 10y ago
Some courses are, eg https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearni... .
893.
by jph00 10y ago
sigh I wish AWS didn't make this bit so complex. And that they stopped changing it! Thanks for letting us know.
894.
by jph00 10y ago
That's really what this course tries to do. Lesson 7 shows how to do localization in a couple of different ways. And in every lesson I try to show how to get a state of the art result on a real dataset, showing the process from end to
895.
by jph00 10y ago
Probably too long a story for an HN comment! ;) In short, my wife got sick and needed brain surgery while she was pregnant, and I ended up being away from Enlitic for nearly a year. It made me reassess what I really wanted to do with my tim
896.
by jph00 10y ago
Deep learning is pretty much entirely linear algebra and calculus, at a mathematical level. But I really think that a code-first approach is much better. So I'd suggest just getting started working through the course, and really dive i
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by jph00 10y ago
Yeah I know just what you mean. Check out the feedback from Christopher Kelly here, who describes something very similar: http://course.fast.ai/testimonials.html . Perhaps you'll find some inspiration there... I really
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by jph00 10y ago
You need to have a basic understanding of matrix products (from linear algebra) and the chain rule (from calculus). Both can be learnt on demand using Khan Academy - no need to go study math first, but just study what you need when you need
899.
by jph00 10y ago
Yes. Our goal is to democratize deep learning, not to make money :)
900.
by jph00 10y ago
Hi all, Jeremy Howard here. I'm the instructor for this MOOC - feel free to ask any questions here.

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