Leveraging Deep Learning for Natural Language Processing Course

In this Natural Language Processing course, you will learn how to navigate the various text pre-processing techniques and select the best neural network architecture for Natural Language Processing. Leveraging Deep Learning for Natural Language Processing Course Benefits In this course, you learn how to:  Understand various pre-processing techniques for deep learning problems. Build a vector representation of text using word2vec and GloVe. Create a named entity recognizer and parts-of-speech tagger with Apache OpenNLP. Build a machine translation model in Keras, a deep learning API. Develop a text Career Stages application using Long short-term memory (LSTM). Build a trigger word detection application using an attention model. Test your knowledge in the included end-of-course exam. Continue learning and face new challenges with after-course one-on-one instructor coaching. Natural Language Processing Course Outline Module 1: Introduction to Natural Language Processing In this module