Neural Networks and Deep Learning A Textbook /

This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on under...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Aggarwal, Charu C. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 1 An Introduction to Neural Networks
  • 2 Machine Learning with Shallow Neural Networks
  • 3 Training Deep Neural Networks
  • 4 Teaching Deep Learners to Generalize
  • 5 Radical Basis Function Networks
  • 6 Restricted Boltzmann Machines
  • 7 Recurrent Neural Networks
  • 8 Convolutional Neural Networks
  • 9 Deep Reinforcement Learning
  • 10 Advanced Topics in Deep Learning.