Natural Language Processing in TensorFlow

If you are a software developer who wants to build scalable AI algorithms, you need to understand how to use the tools to build them. This specialization will teach you the best practices for using TensorFlow, a popular open-source machine learning framework. In course 3 of the deeplearning.ai TensorFlow Specialization, you will build natural language processing systems using TensorFlow. You will learn how to process text, including tokenization and representing sentences as vectors so that they can be fed to a neural network. You will also learn how to apply RNN, GRU, and LSTM neural networks in TensorFlow. Finally, you will be able to train LSTM on existing text to create original poetry! Andrew Ng’s Machine Learning course and Deep Learning Specialization teach the most important and fundamental principles of machine learning and deep learning. The new deeplearning.ai TensorFlow Specialization teaches you how to use TensorFlow to implement these principles, so you can start building and applying scalable models to real-world problems. For a deeper understanding of how neural networks work, we recommend taking the Deep Learning Specialization.