Releases: Dobiasd/frugally-deep
Releases · Dobiasd/frugally-deep
v0.15.12-p0
- Added support for
negative_slope
andthreshold
inReLU
layers
v0.15.11-p0
- Added support for
relu6
activation
v0.15.10-p0
- Added support for layers
RandomContrast
,RandomFlip
,RandomHeight
,RandomTranslation
,RandomWidth
, andRandomZoom
(all no-ops during prediction)
v0.15.9-p0
- Added support for activations
exponential
,gelu
, andsoftsign
v0.15.8-p0
- Added support for
RepeatVector
layer
v0.15.7-p0
- Added support for
swish
activation. - Added support for full models inside
TimeDistributed
layers.
v0.15.6-p0
- Removed the broken workaround (for
training=true
) introduced in releasev0.15.6-p0
v0.15.5-p0
- Added compatibility for models including layers with
training=True
by ignoring the flag.
v0.15.4-p0
- Added support for using
BatchNormalization
layers as the inner layer inTimeDistributed
layers. 🤪
v0.15.3-p0
- Added support for shape inference in Reshape layers.
- Improved some docs.