Natural Language Processing in TensorFlow

Colleagues join over 100k professionals enrolled in the Natural Language Processing in TensorFlow training program. 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 and learn to apply RNNs, GRUs, and LSTMs in TensorFlow. Finally, you’ll get to train an  LSTM on existing text to create original poetry. 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 LSTM. Gain skills in Natural Language Processing, Tokenization, Machine Learning, Tensorflow and RNNs. Training modules include: 1) Sentiment in text - the tokenization of that text. This is the process of converting the text into numeric values, with a number representing a word or a character. This week you'll learn about the Tokenizer and pad_sequences APIs in TensorFlow and how they can be used to prepare and encode text and sentences to get them ready for training neural networks, 2) Word Embeddings - where tokens are mapped as vectors in a high dimension space. With Embeddings and labeled examples, these vectors can then be tuned so that words with similar meaning will have a similar direction in the vector space, 3) Sequence models - learn a variety of model formats that are used in training models to understand context in sequence, and 4) Sequence models and literature - use your knowledge for prediction. Given a body of words, you could predict the word most likely to follow a given word or phrase, and once you've done that, to do it again, and again. With that in mind, this week you'll build a poetry generator. It's trained with the lyrics from traditional Irish songs.

Enroll today (eams & execs welcome): https://tinyurl.com/4wryjdbm 

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