TastyPancakes/Flux.jl
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85 Commits

Author SHA1 Message Date
Mike J Innes
b98075817c
Merge branch 'master' into DenseBlock 2019-06-05 14:27:47 +01:00
ayush-1506
98a027a505 typo 2019-05-14 02:56:12 -07:00
ayush-1506
bfc5bb0079 rebase 2019-05-14 02:53:48 -07:00
ayush-1506
0a2e288c3f another small test 2019-05-14 02:53:06 -07:00
ayush-1506
2161163a82 added crosscor 2019-05-14 02:52:28 -07:00
ayush-1506
7c28f7f883 Merge branch 'crosscor' of https://github.com/ayush-1506/Flux.jl into crosscor 2019-05-14 02:47:28 -07:00
Bruno Hebling Vieira
c5fc2fb9a3 Added tests 2019-05-13 16:32:00 -03:00
bors[bot]
68ba6e4e2f Merge #563 
563: noise shape for dropout r=MikeInnes a=chengchingwen

I add the noise shape for dropout, similar to the `noise_shape` argument in [`tf.nn.dropout`](https://www.tensorflow.org/api_docs/python/tf/nn/dropout)

Co-authored-by: chengchingwen <adgjl5645@hotmail.com>
Co-authored-by: Peter <adgjl5645@hotmail.com>
 2019-05-13 17:16:10 +00:00
chengchingwen
2fc2a5282c Merge remote-tracking branch 'upstream/master' into drop_shape 2019-05-14 00:50:59 +08:00
Elliot Saba
48fcc66094 Remove vestigial testing println() 2019-05-12 11:20:24 -07:00
Elliot Saba
2e6561bb6a Change DepthwiseConv() to use in=>out instead of in=>mult. 
This is an API change, but I think it makes more sense, and is more
consistent with our `Conv()` api.
 2019-05-12 11:20:24 -07:00
chengchingwen
5c5140683c make dims as field of Dropout 2019-05-10 23:45:50 +08:00
ayush-1506
99d07e67db another small test 2019-05-09 16:43:28 +05:30
ayush-1506
9a3aa18c17 conflicts 2019-05-08 11:56:46 +05:30
Jan Weidner
e96a9d7eaf Switch broken #700 test to pass 2019-05-03 22:36:32 +02:00
Jan Weidner
73c5d9f25c fix 2019-05-03 22:22:52 +02:00
Jan Weidner
27a9a7b9cf add broken test for #700 2019-05-03 22:22:52 +02:00
ayush-1506
20b79e0bdf added crosscor 2019-05-01 22:29:00 +05:30
Elliot Saba
6e22cd4931 Add asymmetric padding to convolutional layers 2019-04-25 09:55:23 -07:00
Elliot Saba
113ddc8760 Update Flux code for new NNlib branch 2019-04-25 09:55:23 -07:00
Mike J Innes
54d9229be9
Merge pull request #710 from johnnychen94/master 
naive implementation of activations
 2019-04-05 15:33:31 +01:00
JohnnyChen
4626f7568c rewrite one test case 2019-04-05 18:50:15 +08:00
JohnnyChen
de7a5f4024 correct the function behavior; support Any type 2019-04-05 18:16:44 +08:00
bors[bot]
bd9d73a941 Merge #655 
655: Added support for Float64 for DepthwiseConv r=dhairyagandhi96 a=thebhatman

DepthwiseConv was giving errors for Float64. This fixes the issue.

Co-authored-by: Manjunath Bhat <manjunathbhat9920@gmail.com>
 2019-04-04 17:25:52 +00:00
chengchingwen
261235311c change dims as unbroadcasted dims and keyword argument 2019-04-05 01:19:20 +08:00
JohnnyChen
82595648e2 change 4-spaces tab to 2-spaces tab 2019-03-28 22:40:24 +08:00
JohnnyChen
13c58494ec add x into results 2019-03-28 19:28:59 +08:00
Johnny Chen
c4ebd199db
move test cases to "basic" testset 2019-03-28 17:58:02 +08:00
Johnny Chen
47728b1899
fix test case error 2019-03-28 17:45:12 +08:00
JohnnyChen
5c2a071713 add support for 0-element Chain 2019-03-28 17:20:41 +08:00
JohnnyChen
ccfe0f8720 naive implementation of activations 2019-03-28 17:07:04 +08:00
Shreyas
c810fd4818 Corrected Group Size In Batch Norm Test For Group Norm 2019-03-28 01:35:38 +05:30
Shreyas
61c1fbd013 Made Requested Changes 2019-03-28 01:33:04 +05:30
Shreyas
671aed963e Made a few fixes. Added tests 2019-03-28 00:51:50 +05:30
Lyndon White
f0cc4a328d make Maxout trainable 2019-03-25 16:02:46 +00:00
Lyndon White
ca68bf9bec correct casing 2019-03-18 12:20:46 +00:00
Lyndon White
e23c8ddd13 take zero-arge closure 2019-03-18 12:20:46 +00:00
Lyndon White
fcc3ec471a Add MaxOut layer 2019-03-18 12:19:44 +00:00
chengchingwen
59da68b4d9 update test 2019-03-14 21:55:37 +08:00
Manjunath Bhat
d4a1d33a31
Added Float64 tests for DepthwiseConv 2019-03-09 20:17:22 +05:30
David Pollack
83b4b3a714 changes based on PR comments 2019-03-07 09:46:44 +01:00
David Pollack
129a708b6f instance normalization 2019-03-07 09:46:44 +01:00
KristofferC
9914c531f6 work around extreme slowdown due julia performance bug 2019-02-06 16:19:29 +01:00
Avik Pal
2f3ad56166 Add test for Depthwise Conv 2019-01-24 18:53:04 +05:30
chengchingwen
06003b72c7 noise shape for dropout 2019-01-22 23:51:38 +08:00
Kristoffer Carlsson
c74aa67c5d fix promotion by avoiding integer division in mse and crossentropy 
oops

add tests
 2019-01-15 14:15:05 +01:00
Avik Pal
dfd680646c Fix conflict 2018-11-14 22:18:57 +05:30
Mike J Innes
903db70673 float32 param initialisers 2018-11-12 20:10:47 +00:00
Avik Pal
2559e7b4e6 Fix merge conflicts 2018-10-23 21:53:29 +05:30
JohnnyChen
3bf18347e0 Fix dimensional error in test 2018-09-26 22:03:38 +08:00