Simplified Interface for TensorFlow for Deep Learning
Project description
WARNING: We are not maintaining PyPi package anymore. Please install TensorFlow and install Scikit Flow from there.
This is a simplified interface for TensorFlow, to get people started on
predictive analytics and data mining.
Library covers variety of needs from linear models to Deep Learning
applications like text and image understanding.
Why TensorFlow?
- TensorFlow provides a good backbone for building different shapes of machine learning applications.
- It will continue to evolve both in the distributed direction and as general pipelinining machinery.
Why Scikit Flow?
- To smooth the transition from the Scikit Learn
world of one-liner machine learning into the more open world of building
different shapes of ML models. You can start by using fit/predict and
slide into TensorFlow APIs as you are getting comfortable.
- To provide a set of reference models that would be easy to integrate with existing code.
This is a simplified interface for TensorFlow, to get people started on
predictive analytics and data mining.
Library covers variety of needs from linear models to Deep Learning
applications like text and image understanding.
Why TensorFlow?
- TensorFlow provides a good backbone for building different shapes of machine learning applications.
- It will continue to evolve both in the distributed direction and as general pipelinining machinery.
Why Scikit Flow?
- To smooth the transition from the Scikit Learn
world of one-liner machine learning into the more open world of building
different shapes of ML models. You can start by using fit/predict and
slide into TensorFlow APIs as you are getting comfortable.
- To provide a set of reference models that would be easy to integrate with existing code.
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