TensorFlow for deep learning from linear regression to reinforcement learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems...

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Detalles Bibliográficos
Otros Autores: Ramsundar, Bharath, author (author), Zadeh, Reza Bosagh, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Beijing, [China] : O'Reilly Media 2018.
Edición:First edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631108406719
Tabla de Contenidos:
  • Introduction to deep learning
  • Introduction to TensorFlow primitives
  • Linear and logistic regression with TensorFlow
  • Fully connected deep networks
  • Hyperparameter optimization
  • Convolutional neural networks
  • Recurrent neural networks
  • Reinforcement learning
  • Training large deep networks
  • The future of deep learning.