With Natural Language Processing with TensorFlow, covers NLP as a field in its own right to improve understanding for choosing TensorFlow tools and other deep learning approaches. Provides choices for how to process and evaluate large unstructured text datasets. (Limited-time offer)
Book Description
Topics included: Introduction to Natural Language Processing • Understanding TensorFlow • Word2vec – Learning Word Embeddings • Advanced Word2vec • Sentence Classification with Convolutional Neural Networks • Recurrent Neural Networks • Long Short-Term Memory Networks • Applications of LSTM – Generating Text • Applications of LSTM – Image Caption Generation • Sequence-to-Sequence Learning – Neural Machine Translation • Current Trends and the Future of Natural Language Processing
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Publisher: Packt Publishing
Published: May 2018
Format(s): Online
File size: –
Number of pages: 472
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Free as of 08/31/2019.