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Releases: wvabrinskas/Neuron

v2.0.23

10 Oct 02:10
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What's Changed

  • Updated workflows to contain Emerge binary size detection
  • Improved RNN / LSTM
  • Bug fixes

Full Changelog: 2.0.22...2.0.23

v2.0.22

03 Sep 23:15
7b8c7cb
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What's Changed

  • Fixed issues with RNN
  • Added NetworkContext to forward passes
  • Added GeLu layer
  • Fixed calculation issue with LayerNorm
  • Added symmetrical arithmetic to Tensor named applyAlong. You can now add single dimensional Tensors to N dimensional tensors along the axis of the single dimension. This happens automatically for you.

Full Changelog: 2.0.21...2.0.22

v2.0.21

25 Jul 02:43
7e18d09
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What's Changed

  • updated to support Float16 on macOS universal

Full Changelog: 2.0.20...2.0.21

v2.0.20

24 Jul 01:55
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  • Fix a bug where more than 8 threads on optimizer caused a big delay

What's Changed

Full Changelog: 2.0.19...2.0.20

v2.0.19

23 Jul 23:28
c2a6277
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What's Changed

  • Genericized Tensor.Scalar to support Float and Float16
  • Added weight decay option to Adam

Full Changelog: 2.0.18...2.0.19

v2.0.18

01 Jul 14:58
1f43c43
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What's Changed

  • Fixed RNN and LSTM layers to be more responsive and accurate
  • Fixed a variety of build warnings
  • Added Contribution guidelines
  • Added more documentation
  • General bug fixes

Full Changelog: 2.0.17...2.0.18

v2.0.17

14 Mar 17:29
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Full Changelog: 2.0.16...2.0.17

v2.0.16

13 Mar 23:17
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Significant performance improvements.

PSA: Run / Train using a RELEASE scheme. It is 10X faster

What's Changed

Full Changelog: 2.0.15...2.0.16

v2.0.15

04 Mar 17:35
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Full Changelog: 2.0.14...2.0.15

v2.0.14

11 Feb 07:38
924e858
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What's Changed

Full Changelog: 2.0.13...2.0.14