Deep Learning for NLP: Transfer Learning

The essential aspect of human intelligence is our learning processes constantly augmented with the transfer of concepts and fundamentals. For example as a child we learn the basic alphabet grammar and words and through the transfer of these fundamentals we can then read books and communicate with people. This is what transfer learning helps us achieve in deep learning as well. This course will help you learn the fundamentals of transfer learning for NLP its various challenges and use cases. Explore various transfer learning models such as ELMo and ULMFiT. Upon completing this course you will understand the transfer learning methodology of solving NLP problems and be able to experiment with various models in TensorFlow.