jorgemf

16 ms·

121.
by jorgemf 8y ago
Location: Spain Remote: Yes Willing to relocate: No Technologies: Deep Learning, Machine Learning, TensorFlow, Python, kotlin, java Résumé/CV: https://jorgemf.github.io/cv.html Email: check https:/&#x
122.
by jorgemf 8y ago
> Training a model in the browser is the least practical use for tensorflow.js Unless you want to do some type of federated training in real time without sending private information to the servers (very unusual case in my opinion)
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by jorgemf 8y ago
This is all the reasons why I want to use your tool. Thanks for creating it and I hope one day soon to contribute to your project.
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by jorgemf 8y ago
I don't know pachyderm but it seems to me quite similar to storm to create data pipelines. Polyaxon is useful to train deep learning models in a cluster. I couldn't find any example of how to do it in pachyderm (there are examples
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by jorgemf 8y ago
Stars mean different things to different people. Some people use them to like something, others just to bookmark it for later.
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by jorgemf 8y ago
Location: Spain Remote: Yes Willing to relocate: No Technologies: Deep Learning, TensorFlow, Python, kotlin, java Résumé/CV: https://jorgemf.github.io/cv.html Email: https://jorgemf.github.io
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by jorgemf 8y ago
You would want the performance for new deep learning applications (for example better images with low light conditions)
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by jorgemf 8y ago
yesterday was too late to make backups...
129.
by jorgemf 8y ago
I think you just pointed the biggest issues in the article: the problem starts before any of the solutions proposed. You can do whatever you want during the job/university but if you still get 95% males it won't fix the issue. &gt
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by jorgemf 8y ago
One machine with 8 V100 GPUs. If you consider one TPU pod a single machine the TPU is faster. Those numbers also show that 8 GPUs are slower than 8 TPUs (so same conclusion as the article)
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by jorgemf 9y ago
Each country in Europe has its own visa, and depending on the visa you might need other visas for other countries if you want to travel around. So the first question is where do you want to go? Do you know other languages than english? (nor
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by jorgemf 9y ago
The best way is to have a girl/boyfriend that only speaks english. The second best way is to move to a country where they speak english and avoid people who is not native. So basically the way to becoming fluent in english is to use it
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by jorgemf 9y ago
That service doesn't justify the price tag for me.
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by jorgemf 9y ago
145 per user per month, not 25. Not all countries pay 10k a month to their employees
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by jorgemf 9y ago
Video games are a great environment because they are quite complex and they are already coded and we understand them. For basic research it doesn't matter whether is it a game, test cases or 3d design. They use games because it is less
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by jorgemf 9y ago
I would like to use it but I think the price doesn't justify the tool. For a team of 5 people github is $25 a month, you are $745 a month. I do understand a price a bit higher that github but not 30 times more expensive.
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by jorgemf 9y ago
Regarding your points: 1) "explainable AI" is better in GA than in deep learning. GA gives you a structure that works and probably easier to understand than any Deep Learning model (which it is a huge math function). There are so
138.
by jorgemf 9y ago
an OEM of a technology that noone wants to use? I hope the content is really good and worth the experience, otherwise this is useless. But I am still afraid that if they have to create their own content it might not make sense as a business
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by jorgemf 9y ago
I think this is just incredible. Let's suppose they have an incredible technology and that works (which it is not true at this time because they don't have any product out yet). How do they justify the product adoption which such
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by jorgemf 9y ago
https://en.wikipedia.org/wiki/Automatic_differentiation
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by jorgemf 9y ago
exactly, the someFactor is the error of the next layer calculated with the derivades of the functions (as you would calculate the minimum of a funtion using the derivades). The tricky part is to calculate the derivades, but since auto diffe
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by jorgemf 9y ago
Backpropagation is based on linear optimization (aka calculate the maximum or minimum of a function based on the derivades of that function, this is taught before university in my country). And also in the chain rule to calculate the deriva
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by jorgemf 9y ago
I have read a lot of papers and usually, you end up in the original one if you check the references. But you have to check papers in specific areas. I am not aware of any good document where everything is there.
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by jorgemf 9y ago
> his first impulse was to write backprop from scratch backprop is a very simple algorithm, nothing to fear there. The problems are to calculate the derivates if you want to be flexible building your model. But for feedforward networks w
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by jorgemf 9y ago
> not any sort of fundamental algorithmic paradigm shift I think I cannot agree with this. There has been a lot of improvements to the algorithms to solve problems and the pace has speed up thanks to GPUs. You just cannot make a neural n
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by jorgemf 9y ago
> "you can't use AI/ML unless you have a PhD/5 years research experience" This is not true since a few years ago. But the fact that you can use it doesn't mean you understand what is happening and why it wor
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by jorgemf 9y ago
You can use it with GPUs: https://towardsdatascience.com/fast-ai-lesson-1-on-google-co...
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by jorgemf 9y ago
I hope the target audience is not researchers. I think it doesn't make sense for researchers because they are usually very focused on a topic and don't care (or don't have time) about papers on other topics. I see this as a t
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by jorgemf 9y ago
0.9 wasn't production ready and they didn't guarantee backward compatibility until 1.0. So nothing to change from 1.4 to 1.5, maybe you will have some warnings about features that will change in the future, but it will work.
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by jorgemf 9y ago
Speed in FP16 under k80 is almost as FP32, the architecture doesn't work well with FP16. As you said, you need Volta to notice improvements with FP16. The other two main features are: Eager execution and TensorFlow Lite

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