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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.
Innovative, customer-focused e-commerce retailers in clothing, lingerie, bras, and footwear seeking to integrate smart features into their websites to enhance user experience and minimise returns.
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.
Keras
Prime AI
Keras
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Prime AI
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