Deep Learning Projects Using TensorFlow 2 Neural Network Development with Python and Keras

Work through engaging and practical deep learning projects using TensorFlow 2.0. Using a hands-on approach, the projects in this book will lead new programmers through the basics into developing practical deep learning applications. Deep learning is quickly integrating itself into the technology lan...

Descripción completa

Detalles Bibliográficos
Autor principal: Silaparasetty, Vinita. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630874406719
Tabla de Contenidos:
  • Chapter 1: Getting Started: Installation and Troubleshooting
  • Chapter 2: Perceptrons
  • Chapter 3: Neural Networks
  • Chapter 4: Sentiment Analysist
  • Chapter 5: Music Generation
  • Chapter 6: Image Colorization
  • Chapter 7: Image Deblurring
  • Chapter 8: Image Manipulation
  • Chapter 9: Neutral Network Collection
  • Appendix: Portfolio Tips. .