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History for include/caffe/layers - OAID/Caffe-HRT · GitHub

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History for

Commits on Jan 31, 2018

v0.5.0
huifang
committed
1224a14

Commits on Aug 26, 2017

add support acl batch normal,direct conv, local connect, concat layers
honggui
committed
25e0cec

Commits on Jun 2, 2017

1. Porting Caffe onto ARM Compute Library.
Yao Honggui
committed
89a4228

Commits on Jan 6, 2017

Using default from proto for prefetch
cypof
committed
5f28eb1
Python layers should build on multiprocess & solver_cnt; enable with bindings

Marian Gläser
authored and
cypof
committed
0d27efc
Switched multi-GPU to NCCL
cypof
committed
3ba2054

Commits on Nov 17, 2016

sigmoid cross-entropy loss: normalize loss by different schemes
shelhamer
committed
3d62e3c

Commits on Nov 15, 2016

sigmoid cross-entropy loss: ignore selected targets by `ignore_label`
shelhamer
committed
c6ab965

Commits on Nov 1, 2016

corrected typo in accuracy_layer.hpp: MaxTopBlos -> MaxTopBlobs
karas84
committed
0d20df5

Commits on Oct 27, 2016

sigmoid cross-entropy loss: add GPU forward for full GPU mode
shelhamer
committed
197d11a

Commits on Sep 13, 2016

batch norm: hide statistics from solver, simplifying layer definition
shelhamer
committed
c8f446f
[docs] identify batch norm layer blobs
shelhamer
committed
3b6fd1d

Commits on Sep 10, 2016

[docs] clarify handling of bias and scaling by BiasLayer, ScaleLayer
shelhamer
committed
04f9a77

Commits on Jun 1, 2016

Add LSTMLayer and LSTMUnitLayer, with tests
jeffdonahue
committed
51a68f0
Add RNNLayer, with tests
jeffdonahue
committed
cf5f369
Add RecurrentLayer: an abstract superclass for other recurrent layer types
jeffdonahue
committed
5f2d845

Commits on May 16, 2016

Add cuDNN v5 support, drop cuDNN v3 support
flx42
committed
b43c8e4

Commits on May 5, 2016

add parameter layer for learning any bottom
longjon
committed
c419f85

Commits on Apr 15, 2016

Allow the python layer have attribute "phase"
ZhouYzzz
committed
1c49130
CropLayer: groom comments
shelhamer
committed
00dc3d1

Commits on Mar 5, 2016

Crop: fixes, tests and negative axis indexing.
BlGene
committed
ca9fa49
Extend Crop to N-D, changed CropParameter.
BlGene
committed
952fd17
add CropLayer: crop blob to another blob's dimensions with offsets

longjon
authored and
BlGene
committed
64e78bd

Commits on Feb 25, 2016

add InputLayer for Net input
shelhamer
committed
00598ca

Commits on Feb 20, 2016

tranpose parameter added to IP layer to support tied weights in an autoencoder. Arguments to matrix multiplication function are conditioned on this parameter, no actual transposing takes place.
kashefy
committed
8f847fa

Commits on Jan 23, 2016

Separation and generalization of ChannelwiseAffineLayer into BiasLayer
jeffdonahue
committed
0816907

Commits on Jan 22, 2016

Add ChannelwiseAffine for batch norm

ducha-aiki
authored and
jeffdonahue
committed
ec04197
Merge pull request #3388 from mohomran/exponential_linear_units
shelhamer
committed
a7ac8bc

Commits on Dec 28, 2015

add support for N-D dilated convolution

fyu
authored and
longjon
committed
18c795e
add support for 2D dilated convolution

fyu
authored and
longjon
committed
93bfcb5

Commits on Dec 4, 2015

ELU layer with basic tests
mohomran
committed
a668194

Commits on Dec 2, 2015

dismantle layer headers
shelhamer
committed
300f43f

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