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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Pattanayak, Santanu (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, CA] : Apress, 2017.
Temas:
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.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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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