Deep Learning for Natural Language Processing

Colleagues, the Deep Learning for Natural Language Processing - Second Edition program  is an introduction to building natural language models 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 2, the most popular Deep Learning library. In 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 later lessons, state-of-the art Deep Learning architectures are leveraged to make predictions with natural language data. This program is for intermediate skill level professionals. 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 API for TensorFlow 2, and Improve Deep Learning model performance by selecting appropriate model architectures and tuning model hyperparameters. Training modules that equip with high-demand skills address: 1)The Power and Elegance of Deep Learning for NLP, 2) Word Vectors, 3) Modeling Natural Language Data, 4) Recurrent Neural Networks, and 5) Advanced Models. 

Enroll today (individuals & teams welcome): https://tinyurl.com/matehbru 

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