Natural Language Processing with TensorFlow

The deep learning approach to Natural Language Processing

I think it is safe to assume that deep learning revolutionized machine learning, especially in fields such as computer vision, speech recognition, and of course, NLP. Deep models created a wave of paradigm shifts in many of the fields in machine learning, as deep models learned rich features from raw data instead of using limited human-engineered features. This consequentially caused the pesky and expensive feature engineering to be obsolete. With this, deep models made the traditional workflow more efficient, as deep models perform feature learning and task learning, simultaneously. Moreover, due to the massive number of parameters (that is, weights) in a deep model, it can encompass significantly ...