jorgemf

13 ms·

91.
by jorgemf 8y ago
There are not so many type of problems for such a complex tool. Your problem usually fits in one category among classification, prediction, clustering, generation or control. Then you have different domains as images, video, audio, text, et
92.
by jorgemf 8y ago
Is there any way to use a pytorch model in Mobile and in a website without a server API? For me 5hose are two good reasons to keep using TensorFlow.
93.
by jorgemf 8y ago
In the last model they trained they shared some part of a layer for all the agents. So it was like a one agent trained with shared knowledge of the rest.
94.
Ask HN: What is the best place to find/promote a team for short projects?
1 points by jorgemf 8y ago|0 comments
95.
by jorgemf 8y ago
It is very hard to know exactly what the client wants. Also it is possible the client will change its idea in the middle of the project. You basically use your experience to have an idea of how much will take you to develop the project and
96.
by jorgemf 8y ago
In my country is illegal to have someone as a freelance doing the same as a full time job. So I see the point of upwork. If that company is your only client and you are working full time with them, they should hire you (at least in my count
97.
by jorgemf 8y ago
You are not alone. With time series that is the easiest solution for any model. That is why you need a lot of work creating your datasets and the experiment setup with time series. To avoid the easy solution and obtain something useful.
98.
by jorgemf 8y ago
This information is for outside and inside the company. When you interview someone you cannot go with a predefined answer that you want the candidate to achieve.
99.
by jorgemf 8y ago
Practice, practice, practice. There is no other way to improve at anything. If you want to be the best, you have to practice as much as you can. Probably will take years or even your whole life to by the best or one of the best. Nothing com
100.
by jorgemf 8y ago
Probably Nvidia is not interesting in this type of tools and this is more like "hey, look what you can do with a lot of Nvidia cards, buy us a lot of them and you will do this and much more"
101.
by jorgemf 8y ago
> But for analytics and prediction it’s been extremely useless compared to actual people. Usually the problem is that companies are going to sell you an AI solution for your data, but these companies are not going to tell you that with y
102.
by jorgemf 8y ago
> Resources are optimized relative to their current values I see that as the problem. We have limited resources and don't care very much about the future of them. Current value vs long term value.
103.
by jorgemf 8y ago
Free resources shouldn't be an excuse to use them wisely. I get your point, but it is not a good reason why we cannot do things better.
104.
by jorgemf 8y ago
Why do you think your churn rate is high? Do you know ow what is the average churn rate of other apps or similar apps? (No, your churn rate is not that bad, it is normal in apps). Another good question is the life time value of each custome
105.
by jorgemf 8y ago
Neural networks are based on human brains. So, how are they both different? It is a very hard question, because if we would understand better the brain we will simulate it better in the computers, how do we know we are not already doing a g
106.
by jorgemf 8y ago
Archlinux user here (Manjaro is based on Archlinux). TensorFlow with GPU support is a supported package you can install it with all it's dependencies in a simple command with Pacman. But you don't want to do that the same way you
107.
by jorgemf 8y ago
Well, there are many things to consider: - Code is small, most of it is calling well-know libraries with the algorithms. - Every 3-4 lines of code you usually show the results of what is happening (either how the data changed, a graph or wh
108.
by jorgemf 8y ago
IT depends what you want to do
109.
by jorgemf 8y ago
Jupyter notebooks are for data science, mostly because visualization is required. Something you do once, report it and it is done. Itsn't make sense to use Jupyter for other stuff. It doesn't make much sense to use them for traini
110.
by jorgemf 8y ago
How big are your datasets?
111.
by jorgemf 8y ago
How do you use Jupyter for Deep Learning? I can only think about prototyping stuff, but not for training a large dataset (that doesn't fit in memory) for days.
112.
by jorgemf 8y ago
What's the difference between the output of a network and what an expert says? Unless you can probe mathematically why networks or human mind works, there is no explanation for any of both methods. I can argue that humans learnt from e
113.
by jorgemf 8y ago
So as I said you can copy what others do. That is fine, but you don't k ow deep learning, you know how to apply it based on examples, which is is fine for a lot of things.
114.
by jorgemf 8y ago
I wasn't talking about back propagation. But sometimes you need to change the loss function, or the shape of the network. Or combine two models. Back propagation is the same for those examples, but not other math stuff. The only thing
115.
by jorgemf 8y ago
Because most objects are made for human hands. So it is better to have a robot with human-like hands (or body) than to change the shape of all the things we have already created. So future robots can use our human-made stuff.
116.
by jorgemf 8y ago
You cannot learn machine learning or deep learning in a few months. You can learn to copy what these guides do, but if you want to do something slightly different you will feel you know nothing (because you actually probably don't know
117.
by jorgemf 8y ago
Deep learning is far from slow down. The research speed has increased a lot in the last 5 years. It amazes me how fast the researchers are able to come up with new things. From one year to the next one there is something shiny and new. I do
118.
Ask HN: What are for you the most interesting applications of deep learning?
7 points by jorgemf 8y ago|7 comments
119.
by jorgemf 8y ago
It sounds to me they want people to learn about deep learning and tensorflow. In the long term there will be more professionals and the salaries will go down. That is how they will make profit from this type of thing.
120.
by jorgemf 8y ago
We do have imitation Learning. I think the article is missing some important parts in RL. One way to train a network is to use experience from others or even past experience of the agent, but why is it interesting doing it from scratch? Bec

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