I am giving a Reinforcement Learning at the GDG Denver group. I decided to upgrade my RL notebooks to TF2 and then add some of the TF agents stuff that was announced at Google I/O. As always, this is hosted on my GitHub page https://github.com/ehennis/ReinforcementLearning.
Here is a quick rundown of how I set up the environment to convert my Jupyter Notebooks to TF v2.
Using my old post, to create an environment with a few changes since TF v2 is in beta now.
Commands to setup the environment:
conda create -n gdg_denver python=3.6
pip install tensorflow==2.0.0-beta1
pip install pandas
pip install seaborn
pip install gym
conda install nb_conda
Commands to launch the notebooks:
Since I am pretty straight forward in my usage of TF and Keras there wasn’t much to change. Nothing changes as far as ‘
import tensorflow as tf‘ goes but we do have to change where we get Keras. That is now ‘
from tensorflow import keras‘