Mastering TensorFlow 1.x : Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras.

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We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras,...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Fandango, Armando
Otros Autores: McClure, Nick
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, 2018.
Temas:
Machine learning.
Artificial intelligence.
Artificial Intelligence
Machine Learning
Apprentissage automatique.
Intelligence artificielle.
artificial intelligence.
Neural networks & fuzzy systems.
Data mining.
Computers > Intelligence (AI) & Semantics.
Computers > Neural Networks.
Computers > Database Management > Data Mining.
Artificial intelligence
Machine learning
Acceso en línea:Texto completo
Descripción
Sumario:We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras, TensorFlow Learn, TensorFlow Slim and Sonnet.
Notas:Keras-based MLP for MNIST classification.
Descripción Física:1 online resource (464 pages)
ISBN:9781788297004
1788297008
9781788292061
1788292065

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