A flexible framework of neural networks for deep learning
MIT License
Published by delta2323 about 9 years ago
This is a revision release that contains the following changes:
bug #381 #382 #386 #387 #389 #390 #391 #394 #398 #400 #401 #403 #404 #410 #411 #413 #415
enhancement #383
test #392 #395 #396 #406 #407 #414
document #379 #395 #397 #405
Summary:
Published by beam2d about 9 years ago
This is a minor release that contains following changes:
feature #266 #331 #343 #351 #356 #358 #372 #375
bug #332 #334 #339 #340 #341 #346 #353 #357 #360 #362 #367 #369 #373 #374
enhancement #333 #335 #337 #347 #356 #359 #364 #365 #370 #371 #375
test #344 #361
document #338 #342 #348 #349 #350 #352 #366 #376
Summary:
For Windows users:
We do not support Windows officially, though we want to make it run on Windows as well as Linux. We made CuPy installable to Windows, but it might have some incorrect behaviors. It is appreciated to send us reports of errors on Windows!
Published by beam2d about 9 years ago
This is a minor release containing the following updates:
feature #170 #171 #177 #180 #184 #204 #209 #211 #212 #213 #217 #245 #247 #259 #262 #264 #289 #290 #307
bug #293 #303 #304 #308 #310 #312 #313 #316 #317 #319 #320 #321
enhancement #123 #230 #246 #311
test #294 #295 #309 #314 #322
document #147 #292 #296 #322
example #147 #168
other #300
Many new functions are added:
In addition, softmax and softmax_cross_entropy now supports replicated softmax that repeats softmax over spatial locations (thanks @rezoo!), and BinaryHierarchicalSoftmax now supports GPU mode.
FunctionSet objects are now directly passed to Optimizer.setup without calling collect_parameters (thanks @sinhrks!). The collect_parameters method is deprecated as of this version.
The type checking on backward is removed. Existing user-defined functions that implement the check_type_backward method are not corrupted by this change, though the check is skipped during the backward computation.
We now have a list of external examples. If you want to add an example to this list, notify us at our mailing list.
Published by beam2d about 9 years ago
This is a revision release containing the following updates:
bug #253 #254 #255 #256 #257 #258 #261 #267 #269 #271 #276 #279
enhancement #232 #272 #284 #285
test #68 #273 #281 #282 #283 #286
document #33 #205 #263 #265 #275 #287 #288
example #270
other #260 #268
We added a word2vec example at examples/word2vec directory. Note that the hierarchical softmax option does not run on GPU: it will be supported by the next release v1.2.0.
We also released the tutorial on type checking and a quick table of framework comparison.
http://docs.chainer.org/en/latest/tutorial/type_check.html
http://docs.chainer.org/en/latest/comparison.html
Published by beam2d over 9 years ago
This is a revision release containing following changes:
Bug fixes #157 #194(#195) #197 #199 #206 #215
Enhancement #79 #109(#241) #139(#163) #173 #198(#200) #201(#208) #207 #210 #123(WIP, done: #188 #189 #190 #191 #192 #202 #203 #219 #220 #221 #222 #223 #224 #225 #226 #229 #231(#239) #233(#249) #234(#244) #236(#243) #237(#242) #238(#240) #248)
Test #137 #150(#179) #160(#161) #162 #186(#187)
Document #152 #154(#227) #167(#235) #175 #176 #182 #218(#250)
Example #88 #158 #164 #165
Other #155(#159) #196
Be careful that scikits.cuda is now renamed to scikit-cuda. The existing CUDA-enabled environment may be broken by the update. Be sure to uninstall the old scikits.cuda and update the chainer-cuda-deps
package for CUDA-enabled Chainer.
The issue #123 and related issues/PRs add type checking routines for many Function implementations. It is still on going, and may be done by the next release.
Published by beam2d over 9 years ago
This is a minor release including new features:
and other modifications:
We have also released following things for our development.
Published by beam2d over 9 years ago
This is a revision release including following updates:
Bug fix #18 #44(#76) #62
Improvement #7 #43(#77) #46(#49) #51 #56
Test #4(#54) #5(#63) #20 #21 #64 #65 #66 #80
Document #12 #15 #16 #28 #31 #61
Example #19 #30 #38(#52)
Other #40 #55
Summary:
optimizer.Adam
. Thanks @y-tag!pip install chainer-cuda-deps
functions.BatchNormalization
gets fasterPublished by beam2d over 9 years ago
This is the first release of Chainer! The first version includes: