Natural Language Processing with TensorFlow

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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