Deep Learning for Natural Language Processing Creating Neural Networks with Python /
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You'll start by covering the mathematical prerequisites and...
Κύριοι συγγραφείς: | , , |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berkeley, CA :
Apress : Imprint: Apress,
2018.
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Έκδοση: | 1st ed. 2018. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Chapter 1: Introduction to NLP and Deep Learning
- Chapter 2: Word Vector representations
- Chapter 3: Unfolding Recurrent Neural Networks
- Chapter 4: Developing a Chatbot
- Chapter 5: Research Paper Implementation: Sentiment Classification.