Pro Deep Learning with TensorFlow : A Mathematical Approach to Advanced Artificial Intelligence in Python

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
Autor principal: Pattanayak, Santanu. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2017.
Edición:1st ed. 2017.
Materias:
Artificial intelligence.
Big data.
Python (Computer program language).
Artificial Intelligence.
Big Data.
Python.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630449706719
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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