== Neural Market Trends ==

Tensorflow Meets PyTorch

Tensorflow PyTorch Deep Learning Tutorials Zettelkasten

This is Medium toll-gated but worth a good read. PyTorch rules them all these days and rightfully so.

Whether eager execution makes your program is a little slower or a lot slower depends on how much of your computation is spent in high arithmetic intensity ops like conv or matmul.

IE, doing pure matrix multiplications (longer than 1 millisecond) is not much different whether you use TensorFlow eager, PyTorch or TensorFlow classic.

Via Medium

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