Develop DL models using Tensorflow and pipelines for industrialization and model serving

TensorFlow and Google Cloud Platform (GCP) documentations and instructions

go to the directory in which you want to download the package from git
download the package from Github:
- git clone https://github.com/tarrade/proj_DL_models_and_pipelines_with_GCP.git
- or with other method from your choice (web interface, zip ...)
open an "Anaconda prompt" in the directory that contain the code from GitHub:
your_dir/proj_DL_models_and_pipelines_with_GCP/

This will provide you a unique list of python packages needed to run the code. It seems 1.12 is causing trouble on a Mac, use 1.11 instead

create a python env based on a list of packages from environment.yml
conda env create -f environment.yml -n env_gcp_dl
activate the env
conda activate env_gcp_dl
in case of issue clean all the cache in conda conda clean -a -y

update a python env based on a list of packages from environment.yml
conda env update -f environment.yml -n env_gcp_dl
delete the env to recreate it when too many changes are done
conda env remove -n env_gcp_dl

open a anaconda prompt
go to the directory in which you want to download the package from git
activate the env:
conda activate env_gcp_dl
execute TensorBoard:
tensorboard --logdir ./results
open a web browser (Firefox) and copy the link that appear in the prompt above:
http://<something>:6006

Name		Name	Last commit message	Last commit date
Latest commit History 364 Commits
data		data
doc		doc
docker		docker
notebook		notebook
script		script
src		src
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
env_ml_engine_tf1_12.yml		env_ml_engine_tf1_12.yml
environment.yml		environment.yml
environment_2_0.yml		environment_2_0.yml
environment_test.yml		environment_test.yml
setup.py		setup.py