Mark Hodnett: 2 books

Book cover of Deep Learning with R for Beginners

Deep Learning with R for Beginners

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

by Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu
Language: English
Release Date: May 20, 2019

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the fundamentals of deep learning and neural networks Use R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processing Implement...
Book cover of R Deep Learning Essentials

R Deep Learning Essentials

A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition

by Mark Hodnett, Joshua F. Wiley
Language: English
Release Date: August 24, 2018

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for computer vision and text Apply deep learning techniques in cloud for large-scale processing Build, train, and optimize neural network models on a range of datasets Book...
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