diff --git a/NEWS.md b/NEWS.md
index f19b98df4..bfec80b0c 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,5 +1,13 @@
+Knet v1.4.3 Release Notes
+=========================
+
+* Upgrade to CUDA 2.0.
+* Doc fixes.
+
+
 Knet v1.4.2 Release Notes
 =========================
+701ecff 2020-09-28
 
 * Fixed windows git-tree-sha1 for libknet8.
 * Tutorial fixes.
diff --git a/Project.toml b/Project.toml
index e4a971cc3..52b590306 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "Knet"
 uuid = "1902f260-5fb4-5aff-8c31-6271790ab950"
 authors = ["Deniz Yuret <denizyuret@gmail.com>"]
-version = "1.4.2"
+version = "1.4.3"
 
 [deps]
 AutoGrad = "6710c13c-97f1-543f-91c5-74e8f7d95b35"
@@ -19,7 +19,7 @@ Statistics = "10745b16-79ce-11e8-11f9-7d13ad32a3b2"
 
 [compat]
 AutoGrad = "1.2"
-CUDA = "1.0"
+CUDA = "1.0, 2.0"
 FileIO = "1.0"
 JLD2 = "0.1, 0.2"
 NNlib = "0.6, 0.7"
diff --git a/tutorial/30.lin.ipynb b/tutorial/30.lin.ipynb
index 9e3c9d5f5..117d9b312 100644
--- a/tutorial/30.lin.ipynb
+++ b/tutorial/30.lin.ipynb
@@ -13,7 +13,6 @@
     "* Objectives: Define, train and visualize a simple model; understand gradients and SGD; learn to use the GPU.\n",
     "* Prerequisites: [Callable objects](https://docs.julialang.org/en/v1/manual/methods/#Function-like-objects-1), [Generator expressions](https://docs.julialang.org/en/v1/manual/arrays/#Generator-Expressions-1), [MNIST](20.mnist.ipynb), [Iterators](25.iterators.ipynb)\n",
     "* New functions: \n",
-    "[mnistdata](https://github.com/denizyuret/Knet.jl/blob/master/data/mnist.jl),\n",
     "[accuracy](http://denizyuret.github.io/Knet.jl/latest/reference/#Knet.accuracy), \n",
     "[zeroone](http://denizyuret.github.io/Knet.jl/latest/reference/#Knet.zeroone), \n",
     "[nll](http://denizyuret.github.io/Knet.jl/latest/reference/#Knet.nll), \n",