January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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TF estimator API in R
We learned about the TensorFlow estimator API in Chapter 2. In R, this API is implemented with the tfestimator R package.
As an example, we provide a walkthrough of the MLP Model for classifying handwritten digits from the MNIST dataset at the following link: https://tensorflow.rstudio.com/tfestimators/articles/examples/mnist.html.
You can follow along with the code in the Jupyter R notebook ch-17b_TFEstimator_in_R.
- First, load the libraries:
library(tensorflow)library(tfestimators)
- Define the hyper-parameters:
batch_size <- 128n_classes <- 10n_steps <- 100
- Prepare the data:
# initialize data directorydata_dir <- "~/datasets/mnist"dir.create(data_dir, recursive = TRUE, showWarnings = FALSE)# download the MNIST ...
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