Advanced Applied Deep Learning : Convolutional Neural Networks and Object Detection

Advanced Applied Deep Learning Convolutional Neural Networks and Object Detection

Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection usi...

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Detalles Bibliográficos
Autor principal: Michelucci, Umberto. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2019.
Edición:1st ed. 2019.
Materias:
Artificial intelligence.
Python (Computer program language).
Open source software.
Artificial Intelligence.
Python.
Open Source.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630954506719
Tabla de Contenidos:
  • Chapter 1: Introduction and Development Environment Setup
  • Chapter 2: TensorFlow: advanced topics
  • Chapter 3: Fundamentals of Convolutional Neural Networks
  • Chapter 4: Advanced CNNs and Transfer Learning
  • Chapter 5: Cost functions and style transfer
  • Chapter 6: Object classification - an introduction
  • Chapter 7: Object localization - an implementation in Python
  • Chapter 8: Histology Tissue Classification.

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