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#PlaidML now has preliminary support for for Mac and Python 3:

#Keras #OpenCL #DeepLearning

  • Last week we announced the release of PlaidML, an open source software framework designed to enable deep learning on every device.
  • We received immediate requests for Mac and Python 3, today we’re pleased to announce preliminary support for both.
  • Installing PlaidML with Keras on a Mac is as simple as , but we’ve added something extra: – – We’ve updated plaidvision with support for macOS and Mac built-in webcams.
  • The actual installation only takes a moment: – – PlaidML on Mac is a preview and we are very interested in hearing about user experiences.
  • We’d especially like to thank GitHub user Juanlu001, our first open source contributor, for taking the lead on Python 3 support.

Last week we announced the release of PlaidML, an open source software framework designed to enable deep learning on every device. Our goal with PlaidML is to make deep learning accessible by supporting the most popular hardware and software already in the hands of developers, researchers, and students. Last week’s release supported Python 2.7 on Linux. We received immediate requests for Mac and Python 3, today we’re pleased to announce preliminary support for both.

Oct 27, 2017 | By: Choong Ng

Last week we announced the release of PlaidML, an open source software framework designed to enable deep learning on every device. Our goal with PlaidML is to make deep learning accessible by supporting the most popular hardware and software already in the hands of developers, researchers, and students. Last week’s release supported Python 2.7 on Linux. We received immediate requests for Mac and Python 3, today we’re pleased to announce preliminary support for both.

, but we’ve added something extra:

We’ve updated plaidvision with support for macOS and Mac built-in webcams. To try this out you’ll need a computer listed on Apple’s compatibility list as having OpenCL 1.2 support (most machines 2011 and later). The actual installation only takes a moment:

# Setting up a virtualenv to keep things tidy (this step is optional) virtualenv env . env/bin/activate # Install and configure PlaidML, Keras, and the integration pip install plaidml-keras plaidml-setup # Check out plaidvision and install additional Python packages git clone https://github.com/plaidml/plaidvision.git cd plaidvision pip install -r requirements.txt # Start plaidvision python ./plaidvision.py mobilenet

PlaidML on Mac is a preview and we are very interested in hearing about user experiences. If you find a problem we’d appreciate in our GitHub issue tracker.

We’d especially like to thank GitHub user Juanlu001, our first open source contributor, for taking the lead on Python 3 support. There is a lot more to…

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