Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks /

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Menshawy, Ahmed (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2018.
Temas:
Machine learning.
Apprentissage automatique.
Mathematical theory of computation.
Artificial intelligence.
Neural networks & fuzzy systems.
Computers > Intelligence (AI) & Semantics.
Computers > Machine Theory.
Computers > Neural Networks.
COMPUTERS > General.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Table of Contents Data science: Bird's-eye view Data Modeling in Action
  • The Titanic Example Feature Engineering and Model Complexity
  • The Titanic Example Revisited Get Up and Running with TensorFlow Tensorflow in Action
  • Some Basic Examples Deep Feed-forward Neural Networks
  • Implementing Digit Classification Introduction to Convolutional Neural Networks Object Detection
  • CIFAR-10 Example Object Detection
  • Transfer Learning with CNNs Recurrent-Type Neural Networks
  • Language modeling Representation Learning
  • Implementing Word Embeddings Neural sentiment Analysis Autoencoders
  • Feature Extraction and Denoising Generative Adversarial Networks in Action
  • Generating New Images Face Generation and Handling Missing Labels Appendix
  • Implementing Fish Recognition.

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