Deep Learning for Natural Language Processing

Deep Learning for Natural Language Processing starts by highlighting the basic building blocks of the natural language processing domain. The book goes on to introduce the problems that you can solve using state-of-the-art neural network models. After this, delving into the various neural network architectures and their specific areas of application will help you to understand how to select the best model to suit your needs. (Limited-time offer)

Table of Contents

• Introduction to Natural Language Processing
• Applications of Natural Language Processing
• Introduction to Neural Networks
• Foundations of Convolutional Neural Network
• Recurrent Neural Networks
• Gated Recurrent Units (GRUs)
• Long Short-Term Memory (LSTM)
• State-of-the-Art Natural Language Processing
• A Practical NLP Project Workflow in an Organization

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