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

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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Bibliographic Details
Main Author: Fandango, Armando
Other Authors: McClure, Nick
Format: Electronic eBook
Language:English
Published: Birmingham : Packt Publishing, 2018.
Subjects:
Online Access: Full text (Wentworth users only)
Local Note:ProQuest Ebook Central
Description
Summary: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.
Item Description:Keras-based MLP for MNIST classification.
Physical Description:1 online resource (464 pages)
ISBN:9781788297004
1788297008
9781788292061
1788292065
Source of Description, Etc. Note:Print version record.