![]() ![]() ![]() Simply select the strongest GPU we have with metal in the name. ![]() Plaidml-setup automatically detects viable options in the system. Installing and Configuring PlaidML is surprisingly easy. Install KerasĮasiest way is installing Anaconda and install Keras in an environment $ brew install anacondaĬreating an isolated environment for each of our project is also a good idea $ conda create -n keras Luckily, we could use PlaidML as a backend for Keras as it implements Metal Performance Shaader. There aren't a lot of GPU-accelerated Machine Learning Framework in MacOS besides CreateML or TuriCreate.
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