urlchecker::url_check()

Author: t-kalinowski

R/callbacks.R

@@ -265,7 +265,7 @@ callback_terminate_on_naan <- function() {
 #'   for all embedding layers, string can be passed.
 #' @param embeddings_data Data to be embedded at layers specified in
 #'   `embeddings_layer_names`. Array (if the model has a single input) or list
-#'   of arrays (if the model has multiple inputs). Learn [more about embeddings](https://www.tensorflow.org/tutorials/text/word_embeddings)
+#'   of arrays (if the model has multiple inputs). Learn [more about embeddings](https://www.tensorflow.org/text/guide/word_embeddings)
 #' @param update_freq `'batch'` or `'epoch'` or integer. When using `'batch'`, writes
 #'   the losses and metrics to TensorBoard after each batch. The same
 #'   applies for `'epoch'`. If using an integer, let's say `10000`,

R/model.R

@@ -108,7 +108,7 @@ keras_model_sequential <- function(layers = NULL, name = NULL, ...) {
 #' @param ragged Boolean, whether the placeholder created is meant to be ragged.
 #'   In this case, values of 'NULL' in the 'shape' argument represent ragged
 #'   dimensions. For more information about `RaggedTensors`, see this
-#'   [guide](https://www.tensorflow.org/guide/ragged_tensors). Default to
+#'   [guide](https://www.tensorflow.org/guide/ragged_tensor). Default to
 #'   `FALSE`.
 #' @param type_spec A `tf$TypeSpec` object to create Input from. This
 #'   `tf$TypeSpec` represents the entire batch. When provided, all other args
@@ -1007,7 +1007,8 @@ test_on_batch <- function(object, x, y, sample_weight = NULL) {
 #'
 #' @param object Keras model object
 #' @param generator A generator (e.g. like the one provided by
-#'   [flow_images_from_directory()] or a custom R [generator function](https://rstudio.github.io/reticulate/articles/introduction.html#generators)).
+#'   [flow_images_from_directory()] or a custom R
+#'   [generator function](https://rstudio.github.io/reticulate/articles/calling_python.html#generators-1)).
 #'
 #'   The output of the generator must be a list of one of these forms:
 #'

README.md

@@ -4,7 +4,7 @@
 
 [![R build status](https://github.com/rstudio/keras/workflows/R-CMD-check/badge.svg)](https://github.com/rstudio/keras/actions?workflow=R-CMD-check)
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/keras)](https://cran.r-project.org/package=keras)
-[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/fchollet/keras/blob/master/LICENSE)
+[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/keras-team/keras/blob/master/LICENSE)
 
 [Keras](https://keras.io/) is a high-level neural networks API developed with a focus on enabling fast experimentation. *Being able to go from idea to result with the least possible delay is key to doing good research.* Keras has the following key features:
 

index.Rmd

@@ -21,7 +21,7 @@ knitr::opts_chunk$set(eval = FALSE)
 <div id="build-status">
 [![Travis-CI Build Status](https://travis-ci.org/rstudio/keras.svg?branch=master)](https://travis-ci.org/rstudio/keras) 
 [![CRAN_Status_Badge](https://www.r-pkg.org/badges/version/keras)](https://cran.r-project.org/package=keras)
-[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/fchollet/keras/blob/master/LICENSE)
+[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/keras-team/keras/blob/master/LICENSE)
 </div>
 
 ## R interface to Keras