diff --git a/Misc/06-Gradients.ipynb b/Misc/06-Gradients.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..26c042b6e47415b3f24430336f1d559a40b045f5
--- /dev/null
+++ b/Misc/06-Gradients.ipynb
@@ -0,0 +1,162 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import torch"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Pure Python"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "f(1) is : 0\n",
+ "f(2) is : 7\n",
+ "df(3) is : 10\n"
+ ]
+ }
+ ],
+ "source": [
+ "# ---- My basic function f\n",
+ "def f(x):\n",
+ " y = x*x + 4*x - 5\n",
+ " return y\n",
+ "\n",
+ "def df(x):\n",
+ " y=2*x + 4\n",
+ " return y\n",
+ "\n",
+ "# ---- Examples :\n",
+ "print('f(1) is : ', f(1))\n",
+ "print('f(2) is : ', f(2))\n",
+ "\n",
+ "print('df(3) is : ',df(3))\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Using Torch"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Get a nice tensor, with `requires_grad=True` :-)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "x: tensor(3., requires_grad=True)\n"
+ ]
+ }
+ ],
+ "source": [
+ "x = torch.tensor(3.0, requires_grad = True)\n",
+ "print(\"x:\", x)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Define our function.."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "y = x*x + 4*x + - 5 "
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Compute gradient with the backward function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "y.backward()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "dx= tensor(10.)\n"
+ ]
+ }
+ ],
+ "source": [
+ "dx=x.grad\n",
+ "print('dx=',dx)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "fidle-env",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.2"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/README.ipynb b/README.ipynb
index 8b92b213641469e156d022b07e772c8f86a18353..a21d9355b52bf35cfb1b04a3cb924a9ac033dc4c 100644
--- a/README.ipynb
+++ b/README.ipynb
@@ -3,13 +3,13 @@
{
"cell_type": "code",
"execution_count": 1,
- "id": "60a4d6df",
+ "id": "3f8d27e1",
"metadata": {
"execution": {
- "iopub.execute_input": "2024-03-03T19:38:38.844681Z",
- "iopub.status.busy": "2024-03-03T19:38:38.844023Z",
- "iopub.status.idle": "2024-03-03T19:38:38.854300Z",
- "shell.execute_reply": "2024-03-03T19:38:38.853434Z"
+ "iopub.execute_input": "2024-03-20T20:58:24.985713Z",
+ "iopub.status.busy": "2024-03-20T20:58:24.985441Z",
+ "iopub.status.idle": "2024-03-20T20:58:24.998771Z",
+ "shell.execute_reply": "2024-03-20T20:58:24.997910Z"
},
"jupyter": {
"source_hidden": true
@@ -53,14 +53,14 @@
"For more information, you can contact us at : \n",
"[<img width=\"200px\" style=\"vertical-align:middle\" src=\"fidle/img/00-Mail_contact.svg\"></img>](#top)\n",
"\n",
- "Current Version : <!-- VERSION_BEGIN -->3.0.9<!-- VERSION_END -->\n",
+ "Current Version : <!-- VERSION_BEGIN -->3.0.10<!-- VERSION_END -->\n",
"\n",
"\n",
"## Course materials\n",
"\n",
- "| | | | |\n",
+ "| Courses | Notebooks | Datasets | Videos |\n",
"|:--:|:--:|:--:|:--:|\n",
- "| **[<img width=\"50px\" src=\"fidle/img/00-Fidle-pdf.svg\"></img><br>Course slides](https://fidle.cnrs.fr/supports)**<br>The course in pdf format<br>| **[<img width=\"50px\" src=\"fidle/img/00-Notebooks.svg\"></img><br>Notebooks](https://fidle.cnrs.fr/notebooks)**<br> Get a Zip or clone this repository <br>| **[<img width=\"50px\" src=\"fidle/img/00-Datasets-tar.svg\"></img><br>Datasets](https://fidle.cnrs.fr/datasets-fidle.tar)**<br>All the needed datasets<br>|**[<img width=\"50px\" src=\"fidle/img/00-Videos.svg\"></img><br>Videos](https://fidle.cnrs.fr/youtube)**<br> Our Youtube channel |\n",
+ "| [<img width=\"50px\" src=\"fidle/img/00-Fidle-pdf.svg\"></img><br>**Course slides**](https://fidle.cnrs.fr/supports)<br>The course in pdf format<br>| [<img width=\"50px\" src=\"fidle/img/00-Notebooks.svg\"></img><br>**Notebooks**](https://fidle.cnrs.fr/notebooks)<br> Get a Zip or clone this repository <br>| [<img width=\"50px\" src=\"fidle/img/00-Datasets-tar.svg\"></img><br>**Datasets**](https://fidle.cnrs.fr/datasets-fidle.tar)<br>All the needed datasets<br>|[<img width=\"50px\" src=\"fidle/img/00-Videos.svg\"></img><br>**Videos**](https://fidle.cnrs.fr/youtube)<br> Our Youtube channel |\n",
"\n",
"Have a look about **[How to get and install](https://fidle.cnrs.fr/installation)** these notebooks and datasets.\n",
"\n",
@@ -68,7 +68,7 @@
"## Jupyter notebooks\n",
"\n",
"<!-- TOC_BEGIN -->\n",
- "<!-- Automatically generated on : 03/03/24 20:38:37 -->\n",
+ "<!-- Automatically generated on : 20/03/24 21:58:23 -->\n",
"\n",
"### Linear and logistic regression\n",
"- **[LINR1](LinearReg/01-Linear-Regression.ipynb)** - [Linear regression with direct resolution](LinearReg/01-Linear-Regression.ipynb) \n",
@@ -207,6 +207,8 @@
"4 ways to use Tensorboard from the Jupyter environment\n",
"- **[??](Misc/05-RNN.ipynb)** - [??](Misc/05-RNN.ipynb) \n",
"??\n",
+ "- **[??](Misc/06-Gradients.ipynb)** - [??](Misc/06-Gradients.ipynb) \n",
+ "??\n",
"<!-- TOC_END -->\n",
"\n",
"## Installation\n",
@@ -237,7 +239,7 @@
"from IPython.display import display,Markdown\n",
"display(Markdown(open('README.md', 'r').read()))\n",
"#\n",
- "# This README is visible under Jupiter Lab ;-)# Automatically generated on : 03/03/24 20:38:37"
+ "# This README is visible under Jupiter Lab ;-)# Automatically generated on : 20/03/24 21:58:24"
]
}
],
diff --git a/README.md b/README.md
index 320b9d2bbc76cc4e9d7701661c725a661e5b5fc3..b44e752f71901981bf0797e08a1c1590b54a043e 100644
--- a/README.md
+++ b/README.md
@@ -32,14 +32,14 @@ For more information, see **https://fidle.cnrs.fr** :
For more information, you can contact us at :
[<img width="200px" style="vertical-align:middle" src="fidle/img/00-Mail_contact.svg"></img>](#top)
-Current Version : <!-- VERSION_BEGIN -->3.0.9<!-- VERSION_END -->
+Current Version : <!-- VERSION_BEGIN -->3.0.10<!-- VERSION_END -->
## Course materials
-| | | | |
+| Courses | Notebooks | Datasets | Videos |
|:--:|:--:|:--:|:--:|
-| **[<img width="50px" src="fidle/img/00-Fidle-pdf.svg"></img><br>Course slides](https://fidle.cnrs.fr/supports)**<br>The course in pdf format<br>| **[<img width="50px" src="fidle/img/00-Notebooks.svg"></img><br>Notebooks](https://fidle.cnrs.fr/notebooks)**<br> Get a Zip or clone this repository <br>| **[<img width="50px" src="fidle/img/00-Datasets-tar.svg"></img><br>Datasets](https://fidle.cnrs.fr/datasets-fidle.tar)**<br>All the needed datasets<br>|**[<img width="50px" src="fidle/img/00-Videos.svg"></img><br>Videos](https://fidle.cnrs.fr/youtube)**<br> Our Youtube channel |
+| [<img width="50px" src="fidle/img/00-Fidle-pdf.svg"></img><br>**Course slides**](https://fidle.cnrs.fr/supports)<br>The course in pdf format<br>| [<img width="50px" src="fidle/img/00-Notebooks.svg"></img><br>**Notebooks**](https://fidle.cnrs.fr/notebooks)<br> Get a Zip or clone this repository <br>| [<img width="50px" src="fidle/img/00-Datasets-tar.svg"></img><br>**Datasets**](https://fidle.cnrs.fr/datasets-fidle.tar)<br>All the needed datasets<br>|[<img width="50px" src="fidle/img/00-Videos.svg"></img><br>**Videos**](https://fidle.cnrs.fr/youtube)<br> Our Youtube channel |
Have a look about **[How to get and install](https://fidle.cnrs.fr/installation)** these notebooks and datasets.
@@ -47,7 +47,7 @@ Have a look about **[How to get and install](https://fidle.cnrs.fr/installation)
## Jupyter notebooks
<!-- TOC_BEGIN -->
-<!-- Automatically generated on : 03/03/24 20:38:37 -->
+<!-- Automatically generated on : 20/03/24 21:58:23 -->
### Linear and logistic regression
- **[LINR1](LinearReg/01-Linear-Regression.ipynb)** - [Linear regression with direct resolution](LinearReg/01-Linear-Regression.ipynb)
@@ -186,6 +186,8 @@ PyTorch est l'un des principaux framework utilisé dans le Deep Learning
4 ways to use Tensorboard from the Jupyter environment
- **[??](Misc/05-RNN.ipynb)** - [??](Misc/05-RNN.ipynb)
??
+- **[??](Misc/06-Gradients.ipynb)** - [??](Misc/06-Gradients.ipynb)
+??
<!-- TOC_END -->
## Installation
diff --git a/fidle/about.yml b/fidle/about.yml
index 74bff6ab75f7e1526d43c59dbbfe54e019487c33..c145d7895c19bccd7ba4e3aab9b73d9027c05384 100644
--- a/fidle/about.yml
+++ b/fidle/about.yml
@@ -13,7 +13,7 @@
#
# This file describes the notebooks used by the Fidle training.
-version: 3.0.9
+version: 3.0.10
content: notebooks
name: Notebooks Fidle
description: All notebooks used by the Fidle training
diff --git a/fidle/ci/default.yml b/fidle/ci/default.yml
index 31d363e42e30f6512b145cd7af36f1840626b079..ae0bd6b0f2de7a69c736b80505a1909c6026876f 100644
--- a/fidle/ci/default.yml
+++ b/fidle/ci/default.yml
@@ -1,6 +1,6 @@
campain:
version: '1.0'
- description: Automatically generated ci profile (03/03/24 20:38:37)
+ description: Automatically generated ci profile (20/03/24 21:58:23)
directory: ./campains/default
existing_notebook: 'remove # remove|skip'
report_template: 'fidle # fidle|default'
@@ -321,4 +321,4 @@ TSB1:
notebook: Misc/04-Using-Tensorboard.ipynb
overrides: ??
??:
- notebook: Misc/05-RNN.ipynb
+ notebook: Misc/06-Gradients.ipynb