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I've been a full stack web developer for 15 years now and would like to be involved in machine learning. There is already a specific scenario for this: We have a database with several million products and one product image each. There is also a database with about 5000 terms.
A product image is linked to several terms (usually 3 - 20), whereby the link still has a weighting (1-100%). The terms are always of a visual nature, that is, they describe a visually recognizable feature on the image.
The aim should now be to upload a new image (of course with thematic reference) and to get an answer with possible terms (including probability) based on the already classified images.
Do you have any advice on how best to start here? Is there a framework that comes close to this scenario? Is TensorFlow relevant for this task? What new language should I learn?
Thank you very much!
TensorFlow can be used, it's pretty "low-level" though. So if you're just starting out you might be better off using Keras with a TensorFlow backend as it's more userfriendly.
Regarding languages you will probably use Python. So if you don't know it already you should get started. In my opinion you can also learn it on-the-fly while practicing as you're already a developer.
As for tutorials you will have to probably pick out the relevant bits of many different tutorials. You could get started with something like this:
https://www.pyimagesearch.com/2018/05/07/multi-label-classification-with-keras/
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After hours of searching on google on the above mentioned topic. I am unable to contrast the difference between model based testing and model driven testing. Tons of definitions are there,. But there is no clear definition with real world example.
Can anyone please help me understand the difference between these two with the help of real world example.
I'm afraid there is no clear-cut difference between the two. First, because everybody uses a different terminology (there is no "standard" definition for these terms). Secondly, because IMO, both terms refer to the same concept (using models as part of the process of writing the tests for your system) and only differ regarding the importance of the role of models in the testing process.
To me, model-driven implies a stronger role of the models (i.e. models are used to derive the tests) than model-based (where models are used but maybe as an additional input in the test generation process).
At least, this is how I explain other "model-based" vs "model-driven" concepts as I tried to explain in more detail here: http://modeling-languages.com/clarifying-concepts-mbe-vs-mde-vs-mdd-vs-mda/
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this is my first question here. I am trying to create an app for chart analysis in Objective-C.
Is there a good solution to show a stock chart in a view and at the same time be able to draw lines on this chart.
Just like in this picture shown: http://gb2007.deutsche-euroshop.de/des/annual/2007/gb//German/60/30/grafik_1_chartanalyse.gif
I am pretty new to programming and doing this exercise for a school project.
Feel free to present every solution i really need the right idea to succeed.
Seems like the "go to" solution (in other words, the one everyone runs to) is CorePlot, which you can find on GitHub at:
https://github.com/core-plot
And there's a RayWenderlich tutorial on stock charts with CorePlot, however his (or their) tutorials are more geared for iOS so you may have to do a bit of adjusting to make things work with MacOS. At least you'll be in the same neighborhood (using Objective-C, CorePlot, etc.).
I suspect any solution is going to be a bit "heavy" (or too much) for you to consider as a new programmer. Graphics & plotting within an app can be really intimidating, and you should try to get a couple other projects under your belt and in your portfolio first.
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So, I just started a new job a few weeks back. It is my first job doing software, and I have been tasked with learning how a giant project works. Now, the guy before me left NO (zilch) documentation or comments anywhere in the source code. In addition, he applied basically EVERY design pattern in the famous design patterns book by Gamma, etc...
My question is, how do I start? I have tried setting break points for certain calls that I want to learn (learn bit by bit), but because of the 5 million design patterns employed, every call goes up about 7 levels just to finish, and by then, it's hard to keep track of the 20 some objects being created and used.
Has anyone had a similar experience? A few pointers on different methods to try?
Specs: language - VB.net
IDE - Visual Studio 2010
Using - Windows Forms
Brain - Melting
Inheriting a large project without documentation is always a huge pain in the ass. I hope you have already accustomed your manager to the inconvenient truth that it will take several weeks or even months until you can maintain that project efficiently.
I would start with creating some UML class diagrams. That could tell you a lot about how the system works and which design patterns are used where.
While doing so, I would also add comments to the code with everything I learned about it. When I am not sure if I understood what the code does correctly, I would add a common string like "NOT_SURE" to the comment. Later, when I have a better understanding of the system, I could use a text search to find and revise these comments.
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Assume there is a website that generates pages using dynamic technologies: ASP, JSP, etc.
In a non-adaptive website, I may have a code like if condition 1, then generate page A. If condition 2, generate page B and so on.
In an adaptive system, what is the similar logic? is it correct to say if by evaluating context, user request, etc (in a sense if condition 1), the solution is adaptation policy should generate page A to ensure goal of serving the right page is consistent?
I'd be grateful if you could help me understand the difference / similarities.
Heike
P.S. I am reading about self adaptive systems and just needed to point out that this is not a homework question :)
You can read more about self-adaptive system in the IBM site about autonomic computing.
The Vision: Systems manage themselves according to an administrator's
goals. New components integrate as effortlessly as a new cell
establishes itself in the human body. These ideas are not science
fiction, but elements of the grand challenge to create self-managing
computing systems.
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First and foremost, I would like to say I am very, /very/ new to programming and the like. If I decide to build this, this would probably be my first "large" project i've ever done myself.
What I am looking to build is a very simple Chat/IM client to use for the users in our office network. It would just call us their Windows logon name and use that to IM and the like. I'm talking a very simple client, with a list of names of people who are logged into the network, and option to IM them and an option to do a multiple user chat. It doesn't have to be visually stunning.
How difficult would this honestly be? Is it possible for me, someone who has very little knowledge when it comes to programming to teach myself how to build it?
If not, can you explain why this would be very difficult and what already built clients would work well for what I am using?
This is a big application. Your first parts will suck and refactoring it later will suck even more. I suggest building something small in the first place and then step from one bigger project to another.
XMPP/Jabber is IMHO the best solution for office IM. Most clients like Pidgin, Adium etc can connect to it. Every bigger company I worked for in the last years used it. Take a look at Openfire - A free open source XMPP server that you can directly connect on and which is easy to set up: http://www.igniterealtime.org/projects/openfire/