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From vvitan...@apache.org
Subject [incubator-dlab] branch user_guide2.4 updated: [DLAB-1999]: Added Jupyter kernel in user guide
Date Mon, 17 Aug 2020 15:27:06 GMT
This is an automated email from the ASF dual-hosted git repository.

vvitanska pushed a commit to branch user_guide2.4
in repository https://gitbox.apache.org/repos/asf/incubator-dlab.git


The following commit(s) were added to refs/heads/user_guide2.4 by this push:
     new 917fd80  [DLAB-1999]: Added Jupyter kernel in user guide
917fd80 is described below

commit 917fd80379c8ee737f66f8ee7681bd37dea4561a
Author: viravit <vira_vitanska@epam.com>
AuthorDate: Mon Aug 17 18:25:35 2020 +0300

    [DLAB-1999]: Added Jupyter kernel in user guide
---
 USER_GUIDE.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/USER_GUIDE.md b/USER_GUIDE.md
index aa84b03..66c8689 100644
--- a/USER_GUIDE.md
+++ b/USER_GUIDE.md
@@ -127,7 +127,7 @@ Currently by means of DLab, Data Scientists can select between any of
the follow
 -   RStudio
 -   RStudio with TensorFlow (implemented on AWS)
 -   Jupyter with TensorFlow
--   Deep Learning (Jupyter + MXNet, Caffe, Caffe2, TensorFlow, CNTK, Theano, Torch and Keras)
+-   Deep Learning (Jupyter + MXNet, Caffe2, TensorFlow, CNTK, Theano, PyTorch and Keras)
 -   JupyterLab
 -   Superset (implemented on GCP)
 
@@ -350,7 +350,7 @@ To do that open any of the analytical tools and select proper kernel/interpreter
 
 **Jupyter** – go to Kernel and choose preferable interpreter between local and Computational
resource ones. Currently we have added support of Python 2 (only for local kernel)/3, Spark,
Scala, R in Jupyter.
 
-![Jupiter](doc/jupiter.png)
+![Jupiter](doc/jupyter_kernel.png)
 
 **Zeppelin** – go to Interpreter Biding menu and switch between local and Computational
resource there. Once needed interpreter is selected click on "Save".
 


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