Learning to solve natural language processing problems is an important skill to master due to the explosive growth of data combined with the demand for machine learning solutions in production. Natural Language Processing with TensorFlow, Second Edition, will teach you to solve common real-world NLP problems with a variety of deep learning model architectures.

The book starts with getting the readers familiar with NLP and basics of TensorFlow. Then it gradually teaches different facets of TensorFlow 2.x. In the following chapters, you then learn to generate powerful word vectors, classify text, generate new text and generate image captions, among other exciting use-cases of real-world natural language processing.

TensorFlow has evolved to be an ecosystem that supports machine learning workflow through ingesting and transforming data, building models, monitoring and tracking. We will then read text directly from files and perform the required transformations through a TensorFlow data pipeline. We will also see how to use a versatile visualization tool known as TensorBoard to visualize our models.

By the end of this NLP book, you will be comfortable using TensorFlow for building deep learning models with many different architectures. Additionally, you'll confidently use TensorFlow throughout your machine learning workflow.

Osoby które kupowały "Natural Language Processing with TensorFlow - Second Edition", wybierały także:

• Windows Media Center. Domowe centrum rozrywki 66,67 zÅ‚, (8,00 zÅ‚ -88%)
• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
• Przywództwo w Å›wiecie VUCA. Jak być skutecznym liderem w niepewnym Å›rodowisku 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Scrum. O zwinnym zarzÄ…dzaniu projektami. Wydanie II rozszerzone 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Od hierarchii do turkusu, czyli jak zarzÄ…dzać w XXI wieku 58,64 zÅ‚, (12,90 zÅ‚ -78%)

Spis treści

Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition eBook -- spis treści

• 1. Introduction to Natural Language Processing
• 2. Understanding TensorFlow 2
• 3. Word2vec – Learning Word Embeddings
• 4. Advanced Word Vector Algorithms
• 5. Sentence Classification with Convolutional Neural Networks
• 6. Recurrent Neural Networks
• 7. Understanding Long Short-Term Memory Networks
• 8. Applications of LSTM – Generating Text
• 9. Sequence-to-Sequence Learning – Neural Machine Translation
• 10. Transformers
• 11. Image Captioning with Transformers
• 12. Appendix A: Mathematical Foundations and Advanced TensorFlow