February 2018
Beginner to intermediate
258 pages
5h 47m
English
Content preview from R Deep Learning Projects
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Installing Keras and TensorFlow for R
As per the official documentation, you can install Keras simply with:
devtools::install_github("rstudio/keras")
The Keras R interface uses tensorflow as a backend engine by default. To install both the core keras library and tensorflow, then do:
library(keras) install_keras()
However smooth this might seem, we have seen this setup fail a number of times. Our recommended plan B is:
- Download and install the Anaconda distribution for Python. This is the standard data science stack, with the most popular Python libraries for data scientists.
- Install your Keras backend, for instance, Tensorflow.
- Install Keras (within Python).
After this, you should be ready to install Keras in R.
To be sure that you are ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.