Abstraction for general models in tensorflow with implemented train function
Project that using abstraction of the model and data to define structures that can be used for learning. Model can bee learned by gtrain function to fit the data properly. This abstraction allows to implement almost everything you want without need to implementing learning algorithm all the time. For example it can easily handle various input length witch is not common in other implementations.
Abstaction for model in TensorFlow. Implements functionality like
Abstraction of the data for feeding the model within the training algorithm. Implements functionality like
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|gtrain-0.2.11-py3-none-any.whl (11.5 kB) Copy SHA256 hash SHA256||Wheel||py3|
|gtrain-0.2.11.tar.gz (9.0 kB) Copy SHA256 hash SHA256||Source||None|