updated docs so they are consistent with new functionalities. Updated logo. Updated README and fix a typo in setup.py

Finished implementation of DeepDenseResnet. Adapated DeepDense code for consistency (simply renamed 'embed_p' to 'embed_dropout'). Adapted docs and README. Included unit test for DeepDenseResnet.

Changed loss value printed on the screen for regression. From RMSE to MSE. Adjusted documentation. Also changed unit test for callbacks to the new Linear-Embedding implementation, which implied incresing delta for early stopping

Changed README, wide_deep.py, docs, and examples according to the new metrics. Only thing left is adjust the notebooks

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