Compare Keras and NLTK 
Keras vs NLTK
When assessing the two solutions, reviewers found Keras easier to use. However, NLTK is easier to set up and administer. Reviewers also preferred doing business with NLTK overall.
- Reviewers felt that Keras meets the needs of their business better than NLTK.
- When comparing quality of ongoing product support, reviewers felt that NLTK is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Keras over NLTK.
Keras drastically simplifies building neural networks in Tensorflow without losing too much customizability/functionality. I prefer Keras over TF always unless I know for sure that the best way to use some aspect is within TF itself.
There is minimum configurability and things that are essential and easily accomplished in other frameworks takes a while. For example, building a layer that is not in one of the predefined templates or checking the weights on each layers.
Great for NLP uses like sentiment analysis and text classification; open source
Keras drastically simplifies building neural networks in Tensorflow without losing too much customizability/functionality. I prefer Keras over TF always unless I know for sure that the best way to use some aspect is within TF itself.
Great for NLP uses like sentiment analysis and text classification; open source
There is minimum configurability and things that are essential and easily accomplished in other frameworks takes a while. For example, building a layer that is not in one of the predefined templates or checking the weights on each layers.
