Initial commit

.gitignore

@@ -1,36 +1,114 @@
-# History files
-.Rhistory
-.Rapp.history
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
 
-# Session Data files
-.RData
+# C extensions
+*.so
 
-# Example code in package build process
-*-Ex.R
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
 
-# Output files from R CMD build
-/*.tar.gz
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
 
-# Output files from R CMD check
-/*.Rcheck/
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
 
-# RStudio files
-.Rproj.user/
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+.hypothesis/
+.pytest_cache/
 
-# produced vignettes
-vignettes/*.html
-vignettes/*.pdf
+# Translations
+*.mo
+*.pot
 
-# OAuth2 token, see https://github.com/hadley/httr/releases/tag/v0.3
-.httr-oauth
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
 
-# knitr and R markdown default cache directories
-/*_cache/
-/cache/
+# Flask stuff:
+instance/
+.webassets-cache
 
-# Temporary files created by R markdown
-*.utf8.md
-*.knit.md
+# Scrapy stuff:
+.scrapy
 
-# Shiny token, see https://shiny.rstudio.com/articles/shinyapps.html
-rsconnect/
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# pyenv
+.python-version
+
+# celery beat schedule file
+celerybeat-schedule
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+
+# Data Folder
+data/
+
+*.RData
+*.h5
+logs/
+fashion-mnist/
+checkpoints/
+history_workshop_1.csv

0_Installation.Rmd

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+---
+title: "Installation"
+author: "Mikaël SWAWOLA"
+date: "14/05/2019"
+output: html_document
+---
+
+```{r setup, include=FALSE}
+knitr::opts_chunk$set(echo = TRUE)
+```
+
+La procédure d'installation de TensorFlow et Keras varie considérablement d'un système d'exploitation à l'autre et d'un type de matériel à l'autre. Nous utiliserons pour l'atelier des machines virtuelles avec GPU préinstallées.
+
+## Installation sur CPU
+
+En premier lieu, installez le paquet 'devtools'.
+
+Si l'installation échoue, assurez-vous d'avoir les libraries suivantes installées sur votre système d'exploitation:
+* zlib1g-dev libssl-dev (package on e.g. Debian and Ubuntu)
+* zlib-devel openssl-devel (package on e.g. Fedora, CentOS and RHEL)
+* openssl (Homebrew package on OS X)
+```{r}
+install.packages("devtools")
+```
+
+Ensuite, installez les paquets R TensorFlow et Keras (dans cet ordre) à partir des dépot Github
+```{r}
+devtools::install_github("rstudio/tensorflow")
+devtools::install_github("rstudio/keras")
+```
+
+L'interface Keras R utilise par défaut TensorFlow. Pour installer à la fois la bibliothèque Keras et TensorFlow, utilisez la fonction suivante:
+
+```{r}
+library(keras)
+install_keras()
+```
+
+## Test de l'installation
+```{r}
+is_keras_available()
+```