Pro deep learning with TensorFlow : a mathematical approach to advanced artificial intelligence in Python /

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you...

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Détails bibliographiques
Cote:Libro Electrónico
Auteur principal: Pattanayak, Santanu (Auteur)
Format: Électronique eBook
Langue:Inglés
Publié: [Berkeley, CA] : Apress, 2017.
Sujets:
TensorFlow (Electronic resource)
Machine learning.
Artificial intelligence.
Artificial Intelligence
Computer Science.
Computing Methodologies.
Big Data.
Python.
Apprentissage automatique.
Intelligence artificielle.
artificial intelligence.
Databases.
Programming & scripting languages: general.
COMPUTERS > General.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)
Table des matières:
  • Chapter 1: Mathematical Foundations
  • Chapter 2: Introduction to Deep Learning Concepts and TensorFlow
  • Chapter 3: Convolutional Neural Networks
  • Chapter 4: Natural Language Processing Using Recursive Neural Networks
  • Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto Encoders
  • Chapter 6: Advanced Neural Networks.

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