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)
Table of Contents
- 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
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Author(s): Thushan Ganegedara
Publisher: Packt Publishing
Published: May 2018
Format(s): Online
File size: –
Number of pages: 472
Download / View Link(s): This offer has ended.
Free as of 08/31/2019.
Publisher: Packt Publishing
Published: May 2018
Format(s): Online
File size: –
Number of pages: 472
Download / View Link(s): This offer has ended.
Free as of 08/31/2019.