improve readme

Thomas Capelle · Thomas Capelle · commit 555660080b4c · 2021-11-22T16:09:15.000+01:00
diff --git a/README.md b/README.md
@@ -14,7 +14,7 @@ You have 2 options:
 
 > Note: Don't forget to choose the ARM M1 binaries
 
-## Work
+## Environment setup
 
 You can now create you environment and start working!
 
@@ -29,8 +29,10 @@ mamba create -c conda-forge --name=wandb python wandb pandas numpy matplotlib ju
 conda create --name=wandb python wandb pandas numpy matplotlib jupyterlab
 ```
 
+> Note: To work inside the environment, you will need to call `conda activate env_name`.
+
 ## Apple M1 Tensorflow
-Apple has made binaries for tensorflow 2 that supports the GPU inside the M1 processor. This makes training way faster than CPU. You need can grab them [here](https://developer.apple.com/metal/tensorflow-plugin/) or use the environment files that are provided here. ([tf_apple.yml](tf_apple.yml)).
+Apple has made binaries for tensorflow 2 that supports the GPU inside the M1 processor. This makes training way faster than CPU. You need can grab tensorflow install intruction from the apple website [here](https://developer.apple.com/metal/tensorflow-plugin/) or use the environment files that are provided here. ([tf_apple.yml](tf_apple.yml)). I also provide a [linux env file](tf_linux.yml) in case you want to try.
 
 ## Pytorch
 Pytorch works straight out of the box, but only on CPU. There is a plan to release GPU support in the next months, follow [Soumith Chintala](https://twitter.com/soumithchintala) for up to date info on this.
