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Deep learning solution for any individual interested in machine learning with features such as modularity, neural layers, module extensibility, and Python coding support.
Cloud-based modern technical computing solution that assists SMBs and large enterprises with neural networking, image processing & more.
What i love most about keras is it's wrapper functions, i use it to perform Gridsearch using scikitlearn and this is amazing as i cannot do this on other frameworks.
If you encounter an error, it is hard to be debugged.
I like how easy to use this tool is and how it can run in conjunction with a number of other products like MCT, Theano, etc.
Since it relies on other deep learning frameworks such as Tensorflow, some functionalities may lack on the Keras API that are present in the underlying framework.
The API and the documentation is really easy to understand. It's great to use for someone with not an extensive programming experience.
The main issue I had in Keras is figuring out some low-level error messages that seemed cryptic to me at start.
I recommend it for performing image classification as it provides some inbuilt fucntionality for image preprocessing. It even comes with many usefull pre-trained models like resnet.
Needs some initial setup which might be difficult. Does not play well with Windows.
It’s amazing when you don’t need to write code and just need to analyse some data. It helps in speeding up work and great for college studies.
Failure to have knowledge about the errors that arise for the analysis of established models.
Wolfram is a great way to solve pretty much any kind of equation. It's really easy to use and produces great results with a lot of information with the results.
I had to call quite a few times before getting an answer which at the end turned out to be complete nonsense. I 've just acquired a license for my own use and install it on a MAC.
I am very happy with the product. It helps me in my research on mathematical modeling.
At least medium programming knowledge required to deal with highly complex system. Tooolboxs and its documentations is weak.
The ability to solve symbolic mathematical equations is better compared to any other software. The graphing and data analysis capabilities are up to par.
While Mathematica doesn't have the worst error checking I've seen in some programming languages, it lacks on-the-fly error checking.
Tigran: Hello, my name is Tigran. I'm a university professor and I give Wolfram Mathematica the rating of five. For more reviews like this, please click the link down below. I use Mathematica for solving research problems and also to demonstrate to students how to do analytical and numerical calculations. Mathematica is a great tool for both, and I'm using it since 2005, and I think this is a great product. I really like the functionality and how it improves with time. I really like the option of solving partial differential equations of various forms. And the best thing about Mathematica is actually solving analytical problems. So some of the problems I cannot do by hand and I have to figure out another way to do this through some computing package. And I think that Wolfram Mathematica is the best because it also allows to do parallel calculations. So I don't have to wait for long enough. I can start a hundred different queues and a hundred different processes and do things simultaneously. What I dislike the most is probably the pricing. I'm being lucky that I have a free license from my previous employer, the Caltech. However, if I had to use it myself, it would be probably too pricey.
Keras
Top FeaturesWolfram Mathematica
Keras
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Wolfram Mathematica
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