jorgemf

16 ms·

151.
by jorgemf 9y ago
for the same logic the researcher is another hyperparameter (I know you are right, but so many people here think AutoML is exactly the same that the HPO they were doing since long time ago)
152.
by jorgemf 9y ago
Does it really say it somewhere? As far as I know when you train TensorFlow models they are stored in gs, I thought this would be similar. Otherwise I don't know how they are planning to integrate this with the api they have to upload
153.
by jorgemf 9y ago
HPO means Hyper Parameter Optimization? Because AutoML has nothing to do with it, AutoML is mostly about the architecture of the model, not about Hyper Parameter Optimization.
154.
by jorgemf 9y ago
90% of the time companies apply regression to problems because is the tool they know and works well for a lot of problems. But I think that has changed with deep learning. Deep learning works well for a lot of complex problems (as images).
155.
by jorgemf 9y ago
> data scientists said they spent 65% of their time using relational datasets vs 18% for images It will be interesting to see the trend over years. One year doesn't say anything about the trend in the industry.
156.
by jorgemf 9y ago
I don't think they have been doing it for 4 years as AutoML was quite recent. The idea maybe was there before but noone publish any paper about it before. Bear in mind that this service creates the architecture of the model for you. I
157.
by jorgemf 9y ago
How SageMaker is similar to AutoML? I don't see any reference in SageMaker about defining the architecture of your model for you based on your data.
158.
by jorgemf 9y ago
This has to be very expensive for companies. A good business for Google
159.
by jorgemf 9y ago
In the article: > the team developed an algorithm that automatically generates neural networks Title of the paper: > Optimizing Deep Learning Hyper-Parameters Through an Evolutionary Algorithm. I don't know how to feel when thing
160.
by jorgemf 9y ago
The team don't choose the language, the problem does. I don't care if 50% or 100% want to use a language, you must use what is the best tool to solve the problem you have. And if you have to choose between several languages then y
161.
by jorgemf 9y ago
This paper was uploaded to arxiv 6 months ago (June). With the fast pace in translation in the last years it might be outdated already
162.
by jorgemf 9y ago
That is my point. It doesn't solve the problem
163.
by jorgemf 9y ago
If the pay rises more will come. Things are not that simple
164.
by jorgemf 9y ago
> Data size is another reason. If I want to categorize 50GB of images using a 300MB model it makes a lot more sense to download the model than upload the data. The faster the network is the more reasons you have to upload your data. The
165.
by jorgemf 9y ago
I am going to just forget all the countries that are still on GSM. Let's say we have 5G right now. 1) The theoretical speed is one thing, the real one is another one. 2) There is more than one node connected to the network 3) TCP needs
166.
by jorgemf 9y ago
Resources don't grow to the infinite, there are physics limits to everything. Be aware of that. You can see the perfect example in CPUs, now we are adding cores but peak speed In a single core don't grow very much in new generatio
167.
by jorgemf 9y ago
200MB is still a small model and 4MB is almost the double of an average web page (including images). 10MB web pages is really bad, more for countries that are still developing their infrastructure.
168.
by jorgemf 9y ago
Companies will improve the algorithms and go low level with hardware instructions. The problem with GPUs is that they have special instructions for some operations. Not using them can be 20 times slower. You are not going to improve the alg
169.
by jorgemf 9y ago
I am aware of that research, but even with a 20x decrease in size some models are still too big for web (think about world wide web, not internet in US).
170.
by jorgemf 9y ago
When you want performance the only way is getting close to the hardware. That is why deep learning is usually linux+nvidia. That is why game engines use/used C or even assemble code for critical parts. Don't expect anything better
171.
by jorgemf 9y ago
It uses WebGL to use the GPU, so probably is closer to other standalone libs (but I guess it will depend on the kernels the Networks uses and how WebGL can handle them)
172.
by jorgemf 9y ago
I hope web pages don't grow to hundreds of megabytes just because they have a Neural Network embedded.
173.
by jorgemf 9y ago
Go doesn't seem to me as a good choice to develop apps. Why do you think they would move to Go? I would go to kotlin instead of other language if I needed to replace java
174.
by jorgemf 9y ago
Be aware that a lot of problems can be transformed with a linear transformation into basic and well know problems like SAT [1]. This automatically means that a lot of problems can be solved with the same algorithm. Using problems as chess o
175.
by jorgemf 9y ago
> why is what someone "sounds like" relevant? Because we live in a world where women are treated as less important/intelligent than men. And we must try not to promote that stereotype with lies. > Claims about a populat
176.
by jorgemf 9y ago
I didn't ask you. So I am not sure you are telling me the correct answer. But I want to ask you something. How "That is not why women earn 20% less than men. It is because men work longer hours over longer periods of time than wom
177.
by jorgemf 9y ago
Please explain how is this a personal attack as it wasn't my intention. And how saying that women earn less because men work more is ok to say. And I am sorry to tell you but you supporting him saying those things and complaining about
178.
by jorgemf 9y ago
I care because they are promoting an image that is not true. And you as a woman (I am not) should care about it too. Because the picture means that only men, regardless their nationality, can be linux nerds. I would be offended if I were a
179.
by jorgemf 9y ago
If you work longer hours that is your problem. You are paid to work a fixed amount of hours and the salary is linked to it, it doesn't matter what gender you are. So sorry to tell you but you sound like the typical guy women don't
180.
by jorgemf 9y ago
"By Linux nerds for Linux nerds." and all the people in the picture are guys with glasses a couple of man from different nationalities. Thanks for the stereotype. Women in tech are going to be very proud of this image.

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