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

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 learning models. Whi...

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Detalles Bibliográficos
Otros Autores: Yalçın, Orhan Gazi, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress [2021]
Edición:1st ed. 2021.
Materias:
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631822206719
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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