Commit c3a6f354 authored by Florent Chatelain's avatar Florent Chatelain

up notebooks

parent 54301940
......@@ -15,5 +15,5 @@ You will find in this repository the material associated with the course:
2. Use the mybinder service to run them remotely and interactively (wait a few seconds for the first connection so that the environment loads):
- [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgricad-gitlab.univ-grenoble-alpes.fr%2Fchatelaf%2Fml-sicom3a/40aebfc2cffc2036a025af6f7bf080fdecea8161?filepath=notebooks)
- [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/git/https%3A%2F%2Fgricad-gitlab.univ-grenoble-alpes.fr%2Fchatelaf%2Fml-sicom3a/54301940e4486a8ece22a910c3efa1b2734ed82d?filepath=notebooks)
link to run the examples, *except Deep learning ones* too computationally demanding for the JupyterHub server (use the first solution to run these notebooks with your own ressources...)
......@@ -10,7 +10,7 @@
},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": 1,
"metadata": {},
"outputs": [
{
......@@ -41,7 +41,7 @@
},
{
"cell_type": "code",
"execution_count": 3,
"execution_count": 2,
"metadata": {},
"outputs": [
{
......@@ -50,7 +50,7 @@
"Text(0.5, 1.0, 'Label = 4')"
]
},
"execution_count": 3,
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
},
......@@ -103,7 +103,7 @@
},
{
"cell_type": "code",
"execution_count": 19,
"execution_count": 3,
"metadata": {},
"outputs": [
{
......@@ -158,7 +158,7 @@
},
{
"cell_type": "code",
"execution_count": 21,
"execution_count": 4,
"metadata": {},
"outputs": [
{
......@@ -185,7 +185,7 @@
},
{
"cell_type": "code",
"execution_count": 29,
"execution_count": 5,
"metadata": {},
"outputs": [
{
......@@ -218,7 +218,7 @@
},
{
"cell_type": "code",
"execution_count": 32,
"execution_count": 6,
"metadata": {},
"outputs": [
{
......@@ -237,19 +237,11 @@
},
{
"cell_type": "code",
"execution_count": 35,
"execution_count": 7,
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"4\n",
"719\n"
]
},
{
"data": {
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SptEK96aIyDLk9BLgGklDtA6nlkm6s7slVWYYGI6I43tam2kFftLqhYBvAy6StKA4qXEt8ECXa+qYJNE6lhuMiM91u56qRMTNETE3IubT+l19KyKu63JZlYiI54C9khYWT10OTOqTohOdfLByEXFM0o3AN4ApwG0RsavLZVVhCXA98ENJA8Vzn4mIh7pYk7X3MWBT0dnsAT7c5Xo60vWPycysPr2wi25mNXHAzRJzwM0Sc8DNEnPAzRJzwM0Sc8DNEvs/MCU84HpQO/8AAAAASUVORK5CYII=\n",
......
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