Applied neural networks with TensorFlow 2 : API oriented deep learning with Python /

Implement deep learning applications using TensorFlow while learning the "why" through in-depth conceptual explanations. You'll start by learning what deep learning offers over other machine learning models. Then familiarize yourself with several technologies used to create deep learn...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Yalçın, Orhan Gazi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, CA] : Apress, [2021]
Temas:
TensorFlow.
Machine learning.
Neural networks (Computer science)
Python (Computer program language)
Artificial intelligence.
Neural Networks, Computer
Artificial Intelligence
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Python (Langage de programmation)
Intelligence artificielle.
artificial intelligence.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: Introduction
  • Chapter 2: Introduction to Machine Learning
  • Chapter 3: Deep Learning and Neutral Networks Overview
  • Chapter 4: Complimentary Libraries to TensorFlow 2.x
  • Chapter 5: A Guide to TensorFlow 2.0 and Deep Learning Pipeline
  • Chapter 6: Feedfoward Neutral Networks
  • Chapter 7: Convolutional Neural Networks
  • Chapter 8: Recurrent Neural Networks
  • Chapter 9: Natural Language Processing
  • Chapter 10: Recommender Systems
  • Chapter 11: Auto-Encoders
  • Chapter 12: Generative Adversarial Networks.

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