Deep Learning for Natural Language Processing LiveLessons: Applications of Deep Neural Networks to Machine Learning Tasks

Colleagues, the Deep Learning for Natural Language Processing LiveLessons: Applications of Deep Neural Networks to Machine Learning Tasks program brings intuitive explanations of essential theory to life with interactive, hands-on Jupyter notebook demos. Examples include 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. 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 Lessons include: 1) The Power and Elegance of Deep Learning for Natural Language Processing, 2) Word Vectors, 3) Modeling Natural Language Data, 4) Recurrent Neural Networks, and 5) Advanced Models. (InformIT) 

Enroll today (eams & execs welcome): https://tinyurl.com/2p84v5dt 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy