Natural Language Processing with TensorFlow | Text Generation with RNNs Deep Learning with NLP TF
Natural Language Processing with TensorFlow | Text Generation with RNNs Deep Learning with NLP TF | There is a growing demand to harness the power of natural language processing (NLP) and deep learning models to be able to make sense of textual data and reduce the emotional intervention of humans in order to make better decisions. In this course, instructor Harshit Tyagi provides a complete guide to understanding NLP using recurrent neural networks (RNNs). Harshit begins by introducing you to word encodings and using TensorFlow for tokenization. He describes the important concept of word embeddings and shows you how to use TensorFlow to classify movie reviews and project vectors. Harshit discusses RNNs and long short-term memory (LSTM), then shows you how to improve the movie review classifier from earlier in the course. He concludes with a discussion of how you can train RNNs to predict the next word in a sentence, which in turn allows you to generate some original text.
4. Text Generation with RNNs
Introduction to text generation
Predicting the next word
Challenge: Generate poetry
Solution: Generate poetry
Conclusion
Learning more about NLP with TensorFlow
Deep Learning Course | Natural Language Processing with TensorFlow Part 1 - • Deep Learning Course | Natural Langua...
Deep Learning Course | Natural Language Processing with TensorFlow | RNNs and LSTMs with TensorFlow Part 2 - • Deep Learning Course | Natural Langua...
Generating Poetic Texts with Recurrent Neural Networks in Python
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