Answer the questions by reading the notes after the questions (i.e. by reading the paper if available online):<\/p>\n
Can you use RNN-LSTM for Text Classification?
\nCan you use RNN-LSTM for Text Summarization?
\nCan you use CNN for Text Classification?
\nCan you use CNN for Text Classification?
\nWhat does CNN stand for?
\nWhat does RNN stand for?
\nWhat does CNN-LSTM stand for?
\nWhat is more used in NLP tasks: CNN or RNN-LSTM?
\nWhat are the types of CNN?
\nWhat is CNN-Static?
\nWhat is CNN-Multichannel?
\nWhat is Glove?
\nWhat is Word2Vec?
\nHow does text-summarization by RNN-LSTM compare with human made summaries?
\nHow can you compare the quality of summarization between summary created by RNN-LSTM and human made summaries?
\nWhich method provided better result for text classification (CNN or RNN-LSTM) according to this paper?
\nWhat is text encoding?
\nCan you encode text with your own method?
\nWhat will you prefer between Glove and Word2Vec? Why and When?
\nWhat are the different types of text encoders available?
\nWhat is special about RNN than simple NN?
\nWhat is Gated RNN?
\nHow does Gated RNN compare with Simple RNN for text classification?<\/p>\n","protected":false},"excerpt":{"rendered":"
Answer the questions by reading the notes after the questions (i.e. by reading the paper if available online): Can you use RNN-LSTM for Text Classification? Can you use RNN-LSTM for Text Summarization? Can you use CNN for Text Classification? Can you use CNN for Text Classification? What does CNN stand for? What does RNN stand … <\/p>\n