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============================== Release Notes: v0.97 =================…
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…=============

Support for new layers:
 - Mean absolute error and L1 norm
 - GPU implementation for activation layers
 - Log sigmoid and softsign
 - Channel-wise mean (temporary kludge)

Model portability & usability:
 - Hints for layer output dimensions
 - Confusion matrix callback
 - Metric checking callback

Internal features:
 - Removed target-layer-based features from model zoo
 - Layer unit tests check for expected output values

Retired features:
 - Smooth ReLU, bent identity, and swish layers
 - Target-layer-based metrics
 - Target-layer-based models (sequential, greedy layer-wise autoencoder, Siamese)
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bvanessen committed Nov 30, 2018
1 parent 278bedb commit f019d34
Showing 1 changed file with 16 additions and 7 deletions.
23 changes: 16 additions & 7 deletions ReleaseNotes.txt
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============================== (Pending) Release Notes: v0.97 ==============================
============================== (Pending) Release Notes: v0.98 ==============================
Support for new training algorithms:

Support for new network structures:

Support for new layers:

Performance optimizations:

Model portability & usability:

Internal features:

I/O & data readers:

Build system:

Retired features:

============================== Release Notes: v0.97 ==============================
Support for new layers:
- Mean absolute error and L1 norm
- GPU implementation for activation layers
- Log sigmoid and softsign
- Channel-wise mean (temporary kludge)

Performance optimizations:

Model portability & usability:
- Hints for layer output dimensions
- Confusion matrix callback
Expand All @@ -20,10 +33,6 @@ Internal features:
- Removed target-layer-based features from model zoo
- Layer unit tests check for expected output values

I/O & data readers:

Build system:

Retired features:
- Smooth ReLU, bent identity, and swish layers
- Target-layer-based metrics
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