Releases: jpreiss/mlpfile
Releases · jpreiss/mlpfile
v0.5.0
05 Dec 18:50
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v0.4.1
19 Jun 17:55
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Major new feature: Jacobians of network outputs with respect to layer parameters.
v0.3.0
02 Apr 18:15
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Main new features:
Code generation
Arbitrary loss gradients for OGD step
File format changes (remove Input layer type)
v0.2.1
11 Sep 19:23
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fix bug inside assert; check debug build on CI
v0.2.0
09 Sep 02:54
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Adds gradient descent step on least-squares regression loss for one data point.
v0.1.0
23 Aug 21:20
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n/a
20 Aug 04:38
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n/a
20 Aug 04:06
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more work on getting uploads
n/a
20 Aug 02:44
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another attempt to debug the CI publish-to-PyPI
v0.0.1 first release
20 Aug 00:20
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testing release system and PyPI upload