[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-10-14 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-336626078 OK, I have done it , would you review it? I verified num_layer=161 can work by running some steps. @szha

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-10-14 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-336626078 OK, I have done it , would you check it? I verified num_layer=161 can work by running some steps. @szha

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-26 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-332397878 Is it required to upload pretrained weight then to accept my PR?, because the pretrained weight is about 62M, which is restricted to upload in my company,

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-25 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331762726 This implementation is consistent with the paper. This is an automated message from the

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-24 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331762726 I think this one is more consistent with paper This is an automated message from the Apache

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-23 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331686274 The training of 169-layers is done, result as below: INFO:root:Epoch[124] Batch [2450] Speed: 107.01 samples/sec accuracy=0.904687

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-23 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331686274 The training of 169-layers is done, result as below: INFO:root:Epoch[124] Batch [2450] Speed: 107.01 samples/sec accuracy=0.904687

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-23 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331020772 Ok,I will learn to use gluon, The training of densenet is really slow, the validation of top-1 is above 71% now(169 layers) INFO:root:Epoch[42]

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-20 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331020772 Ok,I will learn to use gluon, The training of densenet is really slow, the validation of top-1 is above 71% now(169 layers) INFO:root:Epoch[42]

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-20 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-331020772 Ok,I will learn to use gluon, The training of densenet is really slow, the validation of top-1 is above 71% now(169 layers) INFO:root:Epoch[42]

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-19 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-330733686 do you suggest me to close this PR? @szha This is an automated message from the Apache Git

[GitHub] qingzhouzhen commented on issue #7957: add densenet

2017-09-19 Thread git
qingzhouzhen commented on issue #7957: add densenet URL: https://github.com/apache/incubator-mxnet/pull/7957#issuecomment-330733686 do you suggest me to close this PR? This is an automated message from the Apache Git