finished docs apart from examples. Changed name of DeepPreprocessor to DensePreprocessor for consistency. Added raise error if model components do not have an 'output_dim' attribute

remove future imports and adapt dense_utils for python 3.6 support. This will be the latest release with python 3.6 support

Deal with when either deeptext or deepimage does not exist.

fixed bug related to the activation function in the case of multiclass classification. F.cross_entropy already applies logSoftmax

refined the documentation for the WarmUp class. Fix an issue regarding to the model type. Added a test for the warm up functionalities

updated examples and docs to show the use of the warm parameter. Updated README to include Acknowledgments

refined documentation in the WideDeep class. Change the reduction method for the FocalLoss from sum to mean