Natural Language Processing in TensorFlow

Colleagues, the Natural Language Processing in TensorFlow Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.. Learn to process text, including tokenizing and representing sentences as vectors, so that they can be input to a neural network. You’ll also learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an  LSTM on existing text to create original poetry! The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization. Learn to build natural language processing systems using TensorFlow, process text, including tokenization and representing sentences as vectors, apply RNNs, GRUs, and LSTMs in TensorFlow and train LSTMs on existing text to create original poetry. Gain skills in Natural Language Processing, Tokenization, Machine Learning, Tensorflow and RNNs. Skill-based training modules include: 1) Sentiment in tText, 2) Word Embeddings, 3) Sequence Models, and 4) Sequence Models and Literature. 

Enroll today (eams & execs welcome): https://tinyurl.com/d3euff5u 

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