Jon Krohn – Deep Learning for Natural Language Processing

Jon Krohn – Deep Learning for Natural Language Processing

Check it out: Jon Krohn – Deep Learning for Natural Language Processing

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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.

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