Programming machine learning : from coding to deep learning /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Perrotta, Paolo
Otros Autores: Dvorak, Katharine (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Raleigh, North Carolina : Pragmatic Bookshelf, [2020]
Colección:Pragmatic programmers.
Temas:
Machine learning.
Computer programming.
Python (Computer program language)
Apprentissage automatique.
Programmation (Informatique)
Python (Langage de programmation)
computer programming.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Part 1. From zero to image recognition. How machine learning works
  • Your first learning program
  • Walking the gradient
  • Hyperspace!
  • A discerning machine
  • Getting real
  • The final challenge
  • The perceptron
  • Part 2. Neural networks. Designing the network
  • Building the network
  • Training the network
  • How classifiers work
  • Batchin' up
  • The zen of testing
  • Let's do development
  • Part 3. Deep learning. A deeper kind of netowork
  • Defeating overfitting
  • Taming deep networks
  • Beyond vanilla networks
  • Into the deep
  • Just enough Python
  • The words of machine learning.

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