Add banner and minor typo fix (#36)

README.md

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+<img src="media/images/banner.png" width=100%/>
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 # TF Tabular
 
 TF Tabular is a project aimed at simplifying the process of handling tabular data in TensorFlow. It provides utilities for building models on top of numeric, categorical, multihot, and sequential data types.
 
 ## Features
 
 - **Create input layers based on lists of columns**
-- **Support custom embeddings**: Useful to include external embeddings for example obtained from an LLM.
+- **Support custom embeddings**: Useful for including external embeddings for example obtained from an LLM.
 - **Support sequence layers**: Useful for time series or when building recommenders on top of user interaction data.
 - **Support multi-hot categorical columns**
 - **No model building or training**: Build whatever you want on top