3 ms·
agreed, and this always been the driving philosophy of pytorch, and perhaps why it kind of won so much brainshare against tensorflow despite _long_ odds when to
by fault1 5y ago
agreed, and this always been the driving philosophy of pytorch, and perhaps why it kind of won so much brainshare against tensorflow despite _long_ odds when torch was ported from lua.
Soumith Chintala had a keynote talk in juliacon where he focused on these points;
https://www.youtube.com/watch?v=6V6jk_OdH-w https://www.youtube.com/watch?v=6V6jk_OdH-w
- dnautics 5y agowere those odds really long? TensorFlow is a beastly mess; and there were some very serious breaking issues between minor version revisions, it was so bad that I used to work at a company where we joked "this company only exists because people can't install tensorflow". We also used to joke that in order to install TensorFlow, step 1: install the JVM.