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Update installation instructions and have just one environment.yml for all platforms

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Aurélien Geron
2021-02-15 20:31:59 +13:00
parent a187605710
commit 44e1b9b9ff
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README.md
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@@ -38,25 +38,19 @@ Read the [Docker instructions](https://github.com/ageron/handson-ml2/tree/master
### Want to install this project on your own machine?
Start by installing [Anaconda](https://www.anaconda.com/distribution/) (or [Miniconda](https://docs.conda.io/en/latest/miniconda.html)), [git](https://git-scm.com/downloads), and if you have a TensorFlow-compatible GPU, install the [GPU driver](https://www.nvidia.com/Download/index.aspx).
Start by installing [Anaconda](https://www.anaconda.com/distribution/) (or [Miniconda](https://docs.conda.io/en/latest/miniconda.html)), [git](https://git-scm.com/downloads), and if you have a TensorFlow-compatible GPU, install the [GPU driver](https://www.nvidia.com/Download/index.aspx), as well as the appropriate version of CUDA and cuDNN (see TensorFlow's documentation for more details).
Next, clone this project by opening a terminal and typing the following commands (do not type the first `$` signs on each line, they just indicate that these are terminal commands):
$ git clone https://github.com/ageron/handson-ml2.git
$ cd handson-ml2
If you want to use a GPU, then edit `environment.yml` (or `environment-windows.yml` on Windows) and replace `tensorflow=2.0.0` with `tensorflow-gpu=2.0.0`. Also replace `tensorflow-serving-api==2.0.0` with `tensorflow-serving-api-gpu==2.0.0`.
Next, run the following commands:
$ conda env create -f environment.yml # or environment-windows.yml on Windows
$ conda activate tf2
$ python -m ipykernel install --user --name=python3
Then if you're on Windows, run the following command:
$ pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py
Finally, start Jupyter:
$ jupyter notebook
@@ -64,4 +58,4 @@ Finally, start Jupyter:
If you need further instructions, read the [detailed installation instructions](INSTALL.md).
## Contributors
I would like to thank everyone who contributed to this project, either by providing useful feedback, filing issues or submitting Pull Requests. Special thanks go to Haesun Park who helped on some of the exercise solutions, and to Steven Bunkley and Ziembla who created the `docker` directory. Thanks as well to github user SuperYorio for helping out on the coding exercise solutions.
I would like to thank everyone who contributed to this project, either by providing useful feedback, filing issues or submitting Pull Requests. Special thanks go to Haesun Park who helped on some of the exercise solutions, and to Steven Bunkley and Ziembla who created the `docker` directory. Thanks as well to github user SuperYorio for helping out on the coding exercise solutions.