Packaged: 2022-06-20 19:21:17 UTC; anniesauer

Title: An Implementation of Deep Neural Network for Regression and
Description: An implementation of deep neural network with rectifier linear units trained
with stochastic gradient descent method and batch normalization. A combination of these methods have
achieved state-of-the-art performance in ImageNet classification by overcoming the gradient saturation
problem experienced by many deep architecture neural network models in the past. In addition,
batch normalization and dropout are implemented as a means of regularization. The deeplearning package is
inspired by the darch package and uses its class DArch.
person(given = "Zhi", family = "Ruan", email = "ryan.zhiruan@gmail.com", role = c("aut", "cre")),
person("Martin", "Drees", email = "mdrees@stud.fh-dortmund.de", role = c("cph"))
Imports: plotly, futile.logger, graphics, stats

Title: Interface to the 'DeepL' Translation API
Description: A wrapper for the 'DeepL' API (see <https://www.deepl.com/translator>), a web service that translates
texts between different languages. Access to the API is subject to a monthly fee.
Packaged: 2018-05-21 23:39:17 UTC; David Zumbach

Description: A wrapper for the 'DeepL' API, a web service for translating texts between different languages.
Access to the official API (see <https://www.deepl.com/translator>) is subject to a monthly fee.
No authentication key is required for the undocumented DeepL JSON-RPC API. The package provides functions
Imports: utf8, httr, tibble, rjson, purrr, tokenizers, stringr
Packaged: 2018-05-28 20:29:32 UTC; David Zumbach

person("David", "Zumbach", role = c("aut", "cre"), email = "david.zumbach@gfzb.ch"),
person("Paul C.", "Bauer", role = c("aut"), email = "mail@paulcbauer.eu")
Description: A wrapper for the 'DeepL' Pro API <https://www.deepl.com/docs-api>, a web service
for translating texts between different languages. A DeepL API developer account is required
to use the service (see <https://www.deepl.com/pro#developer).
Imports: utf8, httr, tibble, purrr, tokenizers