| Sumario: | 5+ Hours of Video Instruction An intuitive introduction to processing natural language data with Deep Learning models Deep Learning for Natural Language Processing LiveLessons is an introduction to processing natural language with Deep Learning. These lessons bring intuitive explanations of essential theory to life with interactive, hands-on Jupyter notebook demos. Examples feature Python and Keras, the high-level API for TensorFlow, the most popular Deep Learning library. In the early lessons, specifics of working with natural language data are covered, including how to convert natural language into numerical representations that can be readily processed by machine learning approaches. In the later lessons, state-of-the art Deep Learning architectures are leveraged to make predictions with natural language data. The companion materials for this LiveLesson can be found at https://github.com/the-deep-learners/TensorFlow-LiveLessons/ . About the Instructor Jon Krohn is the Chief Data Scientist at untapt, a machine learning startup in New York. He leads a Deep Learning Study Group and, having obtained his doctorate in neuroscience from Oxford University, continues to publish academic papers. Jon is the author and presenter of Deep Learning with TensorFlow LiveLessons . Skill Level Intermediate Learn How To Preprocess natural language data for use in machine learning applications Transform natural language into numerical representations with word2vec Make predictions with Deep Learning models trained on natural language Apply state-of-the-art NLP approaches with Keras, the high-level TensorFlow API Improve Deep Learning model performance by tuning hyperparameters Who Should Take This Course These LiveLessons are perfectly-suited to software engineers, data scientists, analysts, and statisticians with an interest in applying Deep Learning to natural language data. Code examples are provided in Python, so familiarity with it or another object-oriented programming language would be helpful. Course Requirements The author’s earlier Deep Learning with TensorFlow LiveLessons , or equivalent foundational Deep Learning knowledge, are a prerequisite. Table of Contents Lesson 1: The Power and Elegance of Deep Learning for Natural Language Processing This lesson starts off by examining Natural Language Processing and how it has been revolutionized in recent years by Deep Learning approaches. It continues with a little linguistics section that introduces the ...
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