Learn Keras for Deep Neural Networks : A Fast-Track Approach to Modern Deep Learning with Python

Learn Keras for Deep Neural Networks A Fast-Track Approach to Modern Deep Learning with Python

Learn, understand, and implement deep neural networks in a math- and programming-friendly approach using Keras and Python. The book focuses on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use-cases implemented in...

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Detalles Bibliográficos
Autor principal: Moolayil, Jojo. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2019.
Edición:1st ed. 2019.
Materias:
Artificial intelligence.
Open source software.
Computer programming.
Python (Computer program language).
Artificial Intelligence.
Open Source.
Python.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630543906719
Tabla de Contenidos:
  • Chapter 1: Deep Learning & Keras
  • Chapter 2: Keras in Action
  • Chapter 3: Deep Neural networks for Supervised Learning
  • Chapter 4: Measuring Performance for DNN
  • Chapter 5: Hyperparameter Tuning & Model Deployment
  • Chapter 6: The Path Forward.

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