update jmlr.org urls -> proceedings.mlr.press

Author: t-kalinowski

R/initializers.R

@@ -206,7 +206,7 @@ initializer_lecun_normal <- function(seed = NULL) {
 #' @inheritParams initializer_random_normal
 #'
 #' @section References:
-#' Glorot & Bengio, AISTATS 2010 <https://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf>
+#' Glorot & Bengio, AISTATS 2010 <https://proceedings.mlr.press/v9/glorot10a/glorot10a.pdf>
 #'
 #' @family initializers
 #'
@@ -228,7 +228,7 @@ initializer_glorot_normal <- function(seed = NULL) {
 #' @inheritParams initializer_random_normal
 #'
 #' @section References:
-#' Glorot & Bengio, AISTATS 2010 https://jmlr.org/proceedings/papers/v9/glorot10a/glorot10a.pdf
+#' Glorot & Bengio, AISTATS 2010 <https://proceedings.mlr.press/v9/glorot10a/glorot10a.pdf>
 #'
 #' @family initializers
 #'

R/layers-convolutional.R

@@ -1308,7 +1308,7 @@ layer_cropping_3d <- function(object, cropping = list(c(1L, 1L), c(1L, 1L), c(1L
 #' @param unit_forget_bias Boolean. If TRUE, add 1 to the bias of the forget
 #'   gate at initialization. Use in combination with `bias_initializer="zeros"`.
 #'   This is recommended in [Jozefowicz et
-#'   al.](https://www.jmlr.org/proceedings/papers/v37/jozefowicz15.pdf)
+#'   al.](https://proceedings.mlr.press/v37/jozefowicz15.pdf)
 #' @param kernel_regularizer Regularizer function applied to the `kernel`
 #'   weights matrix.
 #' @param recurrent_regularizer Regularizer function applied to the
@@ -1450,7 +1450,7 @@ layer_conv_lstm_2d <- function(object, filters, kernel_size, strides = c(1L, 1L)
 #' @param unit_forget_bias Boolean. If TRUE, add 1 to the bias of the forget gate at
 #' initialization. Use in combination with `bias_initializer="zeros"`. This
 #' is recommended in [Jozefowicz et al., 2015](
-#'   https://www.jmlr.org/proceedings/papers/v37/jozefowicz15.pdf)
+#'   https://proceedings.mlr.press/v37/jozefowicz15.pdf)
 #'
 #' @param kernel_regularizer Regularizer function applied to the `kernel` weights
 #' matrix.
@@ -1595,7 +1595,7 @@ function(object,
 #' @param unit_forget_bias Boolean. If TRUE, add 1 to the bias of the forget gate at
 #' initialization. Use in combination with `bias_initializer="zeros"`. This
 #' is recommended in [Jozefowicz et al., 2015](
-#'   https://www.jmlr.org/proceedings/papers/v37/jozefowicz15.pdf)
+#'   https://proceedings.mlr.press/v37/jozefowicz15.pdf)
 #'
 #' @param kernel_regularizer Regularizer function applied to the `kernel` weights
 #' matrix.

R/layers-recurrent-cells.R

@@ -378,7 +378,7 @@ function(cells, ...)
 #' @param unit_forget_bias Boolean (default `TRUE`). If TRUE, add 1 to the bias of
 #' the forget gate at initialization. Setting it to true will also force
 #' `bias_initializer="zeros"`. This is recommended in [Jozefowicz et
-#'   al.](https://www.jmlr.org/proceedings/papers/v37/jozefowicz15.pdf)
+#'   al.](https://proceedings.mlr.press/v37/jozefowicz15.pdf)
 #'
 #' @param kernel_regularizer Regularizer function applied to the `kernel` weights
 #' matrix. Default: `NULL`.

R/layers-recurrent.R

@@ -234,7 +234,7 @@ layer_cudnn_gru <- function(object, units,
 #' @param unit_forget_bias Boolean. If TRUE, add 1 to the bias of the forget
 #'   gate at initialization. Setting it to true will also force
 #'   `bias_initializer="zeros"`. This is recommended in [Jozefowicz et
-#'   al.](https://www.jmlr.org/proceedings/papers/v37/jozefowicz15.pdf)
+#'   al.](https://proceedings.mlr.press/v37/jozefowicz15.pdf)
 #'
 #' @template roxlate-recurrent-layer
 #'