Natural Language Processing With Pytorch ― Build Intelligent Language Applications Using Deep Learning
商品簡介
Natural Language Processing (NLP) offers unbounded opportunities for solving interesting problems in artificial intelligence, making it the latest frontier for developing intelligent, deep learning-based applications. If you’re a developer or researcher ready to dive deeper into this rapidly growing area of artificial intelligence, this practical book shows you how to use the PyTorch deep learning framework to implement recently discovered NLP techniques. To get started, all you need is a machine learning background and experience programming with Python.
Authors Delip Rao and Goku Mohandas provide you with a solid grounding in PyTorch, and deep learning algorithms, for building applications involving semantic representation of text. Each chapter includes several code examples and illustrations.
- Get extensive introductions to NLP, deep learning, and PyTorch
- Understand traditional NLP methods, including NLTK, SpaCy, and gensim
- Explore embeddings: high quality representations for words in a language
- Learn representations from a language sequence, using the Recurrent Neural Network (RNN)
- Improve on RNN results with complex neural architectures, such as Long Short Term Memories (LSTM) and Gated Recurrent Units
- Explore sequence-to-sequence models (used in translation) that read one sequence and produce another
作者簡介
Delip Rao is a machine learning and natural language processing researcher focused on building AI solutions for consumers and businesses. He has worked on NLP and ML research problems involving semi-supervised learning, graph-based ranking, sequence learning, distributed machine learning, and more, and has published several highly cited papers in these areas.
Delip worked as a Research Scientist at Amazon focusing on machine learning and natural language understanding for Amazon Echo, and at Twitter, where he worked on a variety of problems including anomaly detection, spam, content discovery, user modeling, and engagement prediction. He is currently building Joostware, an AI research consulting group, in San Francisco. He frequently blogs on natural language processing and deep learning at deliprao.com.
Goku Mohandas is an artificial intelligence (AI) researcher in Silicon Valley with a focus on using deep learning for natural language tasks. His interests include research on AI for intelligent search and question answering augmented by attentional and memory-based interfaces. He also strongly believes in the democratization of AI with a focus on interpretability and transparency. Previous work includes working on the intersection of AI and biotechnology at the Johns Hopkins University Applied Physics Laboratory.
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