imagenet_preprocess_input

data_format

One of "caffe", "tf"<ul>
<li>caffe: will convert the images from RGB to BGR,
then will zero-center each color channel with
respect to the ImageNet dataset,
without scaling.</li>
<li>tf: will scale pixels between -1 and 1, sample-wise.</li>
</ul>

mode

Preprocesses a tensor encoding a batch of images.

Interface to 'Keras' <https://keras.io>, a high-level neural
networks API. 'Keras' was developed with a focus on enabling fast experimentation,
supports both convolution based networks and recurrent networks (as well as
combinations of the two), and runs seamlessly on both 'CPU' and 'GPU' devices.

JJ Allaire

keras

R Interface to 'Keras'

Fran<c3><a7>ois Chollet

 RStudio

 Google

Yuan Tang

Daniel Falbel

Wouter Van Der Bijl

Martin Studer

imagenet_preprocess_input function

Preprocesses a tensor encoding a batch of images. — imagenet_preprocess_input

Preprocesses a tensor encoding a batch of images.

imagenet_preprocess_input: Preprocesses a tensor encoding a batch of images.

Description

Usage

Arguments

Value