fermaat / online_deep_learning_intro

Software instalation and previous steps

Linux machines (ubuntu)

You need to install pip3 on your system

sudo apt install python3-pip

Instal virtualenv

pip3 install virtualenv

Create environment

virtualenv path_to_virtual_envs_location/environment_name

activate virtuelenv (if needed)

source path_to_virtual_envs_location/environment_name/bin/activate

install dependences

pip3 install -r requirements.txt In case you have cuda installed and configured, just replace tensorflow package with tensorflow-gpu:

pip3 install -r requirements_gpu.txt

Jupyter kernel generation

After having sourced the environment:

ipython kernel install --user --name=environment_name

Windows machines

You could do it from waw python, but it can be easier if you use Anaconda. Download and install it from here

Create a conda environment and activate it. Help can be found here

Requirements instalation

conda install -r requirements_windows.txt

Jupyter kernel generation

In a conda prompt/powershell conda prompt, activate the environment conda activate_environment_name

After the environment is active:

ipython kernel install --user --name=environment_name

Now Jupyter has a kernel dedicated to the environment.

Torch

If you want also to install torch, you need to run this line (only for cpu)

pip install torch==1.3.1+cpu torchvision==0.4.2+cpu -f https://download.pytorch.org/whl/torch_stable.html

Pre-Trained LSTM Generative models

You can find the pre-trained models on this link