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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Goyal, Palash (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Pandey, Sumit (http://id.loc.gov/vocabulary/relators/aut), Jain, Karan (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berkeley, CA : Apress : Imprint: Apress, 2018.
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.