![]() The Mac has long been a popular platform for developers, engineers, and researchers. These improvements, combined with the ability of Apple developers being able to execute TensorFlow on iOS through TensorFlow Lite, continue to showcase TensorFlow’s breadth and depth in supporting high-performance ML execution on Apple hardware. TensorFlow users on Intel Macs or Macs powered by Apple’s new M1 chip can now take advantage of accelerated training using Apple’s Mac-optimized version of TensorFlow 2.4 and the new ML Compute framework. ![]() With TensorFlow 2, best-in-class training performance on a variety of different platforms, devices and hardware enables developers, engineers, and researchers to work on their preferred platform.
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